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Part I - Loading the ESDC¶

In this tutorial, we will walk through how one can access the ESDC. Fortunately, we have 2 ways: locally and through the internet. I have already personally downloading the cubes to our in-house server. But for reproducibility purposes, the cubes can be accessed externally as well. So we will walk-through the two ways that this is possible.

from xcube.core.dsio import open_cube
import pathlib
import xarray as xr

DATA_PATH = pathlib.Path("/media/disk/databases/ESDC/")

Method I - Online¶

For this first example, we will load the cubes from the server. Then we can view the cubes.

# load cube from bit bucket
cube_from_s3_bucket = open_cube("https://obs.eu-de.otc.t-systems.com/obs-esdc-v2.0.0/esdc-8d-0.25deg-1x720x1440-2.0.0.zarr")

cube_from_s3_bucket

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 720
- lon: 1440
- time: 1702

Coordinates: (6)

lat

(lat)

float32

89.875 89.625 ... -89.625 -89.875

array([ 89.875,  89.625,  89.375, ..., -89.375, -89.625, -89.875],
      dtype=float32)

lat_bnds

(lat, bnds)

float32

dask.array<chunksize=(720, 2), meta=np.ndarray>





  
      Array  Chunk 
  
  
     Bytes  5.76 kB   5.76 kB 
     Shape  (720, 2)   (720, 2) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

lon

(lon)

float32

-179.875 -179.625 ... 179.875

array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],
      dtype=float32)

lon_bnds

(lon, bnds)

float32

dask.array<chunksize=(1440, 2), meta=np.ndarray>





  
      Array  Chunk 
  
  
     Bytes  11.52 kB   11.52 kB 
     Shape  (1440, 2)   (1440, 2) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

time

(time)

datetime64[ns]

1980-01-05 ... 2016-12-30

bounds :: time_bnds
long_name :: time
standard_name :: time

array(['1980-01-05T00:00:00.000000000', '1980-01-13T00:00:00.000000000',
       '1980-01-21T00:00:00.000000000', ..., '2016-12-14T00:00:00.000000000',
       '2016-12-22T00:00:00.000000000', '2016-12-30T00:00:00.000000000'],
      dtype='datetime64[ns]')

time_bnds

(time, bnds)

datetime64[ns]

dask.array<chunksize=(1702, 2), meta=np.ndarray>





  
      Array  Chunk 
  
  
     Bytes  27.23 kB   27.23 kB 
     Shape  (1702, 2)   (1702, 2) 
     Count  2 Tasks  1 Chunks 
     Type  datetime64[ns]  numpy.ndarray

Data variables: (79)

Rg

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 2
esa_cci_path :: nan
long_name :: Downwelling shortwave radiation
orig_attrs :: {'long_name': 'Downwelling shortwave radiation', 'project_name': 'BESS', 'references': 'Ryu, Y.*, Jiang, C., Kobayashi, H., & Detto, M. (2018). MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000. Remote Sensing of Environment, 204, 812-825', 'source_name': 'surface_downwelling_shortwave_flux_in_air', 'standard_name': 'surface_downwelling_shortwave_flux_in_air', 'units': 'W m-2', 'url': 'http://environment.snu.ac.kr/bess_rad/'}
orig_version :: 15.10.2017
project_name :: BESS
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-03-01
units :: W m-2
url :: http://environment.snu.ac.kr/bess_rad/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

aerosol_optical_thickness_1600

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 25
esa_cci_path :: /neodc/esacci/aerosol/data/AATSR_SU/L3/v4.21/DAILY/
long_name :: Aerosol optical thickness at 1600 nm
orig_attrs :: {'Conventions': 'CF-1.6', 'cdm_data_type': 'grid', 'coordinates': 'latitude longitude', 'creator_email': 'p.r.j.north@swansea.ac.uk, a.heckel@swansea.ac.uk', 'creator_name': 'Swansea University', 'creator_url': 'http:\\/\\/www.swan.ac.uk\\/staff\\/academic\\/environmentsociety\\/geography\\/northpeter\\/', 'date_created': '20151022T231808Z', 'geospatial_lat_max': '90.0', 'geospatial_lat_min': '-90.0', 'geospatial_lat_resolution': '1.0', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': '180.0', 'geospatial_lon_min': '-180.0', 'geospatial_lon_resolution': '1.0', 'geospatial_lon_units': 'degrees_east', 'history': 'Level 3 product from Swansea algorithm', 'id': '20020724141127-ESACCI-L3C_AEROSOL-AER_PRODUCTS-AATSR_ENVISAT-SU_DAILY-v4.21.nc', 'inputfilelist': 'ATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1', 'keywords': 'satellite,observation,atmosphere', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'lat': 180, 'license': 'ESA CCI Data Policy: free and open access', 'lon': 360, 'long_name': 'aerosol optical thickness at 1600 nm', 'naming_authority': 'uk.ac.su.aatsraerosol', 'orig_attrs': {}, 'platform': 'ENVISAT', 'product_version': '4.21', 'project': 'Climate Change Initiative - European Space Agency', 'projection': 'equirectangular', 'references': 'http:\\/\\/www.esa-aerosol-cci.org', 'resolution': '1x1 degrees', 'sensor': 'AATSR', 'source': 'ATS_TOA_1P, V6.05', 'source_name': 'AAOD550_mean', 'standard_name': 'atmosphere_optical_thickness_due_to_ambient_aerosol', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains the level-3 daily mean aerosol properties products from AATSR satellite observations. Data are processed by Swansea algorithm', 'time': '1', 'time_coverage_end': '20020724T233825Z', 'time_coverage_start': '20020724T143513Z', 'title': 'AARDVARC CCI aerosol product level 3', 'tracking_id': 'a63f9cd2-1fed-4f9a-82fd-91f1c1b966b2', 'units': '1'}
orig_version :: v4.21
project_name :: ESA Aerosol CCI
time_coverage_end :: 2012-04-10
time_coverage_resolution :: P8D
time_coverage_start :: 2002-07-24
units :: 1
url :: http://www.esa-aerosol-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

aerosol_optical_thickness_550

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 26
esa_cci_path :: /neodc/esacci/aerosol/data/AATSR_SU/L3/v4.21/DAILY/
long_name :: Aerosol optical thickness at 550 nm
orig_attrs :: {'Conventions': 'CF-1.6', 'cdm_data_type': 'grid', 'coordinates': 'latitude longitude', 'creator_email': 'p.r.j.north@swansea.ac.uk, a.heckel@swansea.ac.uk', 'creator_name': 'Swansea University', 'creator_url': 'http:\\/\\/www.swan.ac.uk\\/staff\\/academic\\/environmentsociety\\/geography\\/northpeter\\/', 'date_created': '20151022T231808Z', 'geospatial_lat_max': '90.0', 'geospatial_lat_min': '-90.0', 'geospatial_lat_resolution': '1.0', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': '180.0', 'geospatial_lon_min': '-180.0', 'geospatial_lon_resolution': '1.0', 'geospatial_lon_units': 'degrees_east', 'history': 'Level 3 product from Swansea algorithm', 'id': '20020724141127-ESACCI-L3C_AEROSOL-AER_PRODUCTS-AATSR_ENVISAT-SU_DAILY-v4.21.nc', 'inputfilelist': 'ATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1', 'keywords': 'satellite,observation,atmosphere', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'lat': 180, 'license': 'ESA CCI Data Policy: free and open access', 'lon': 360, 'long_name': 'aerosol optical thickness at 550 nm', 'naming_authority': 'uk.ac.su.aatsraerosol', 'orig_attrs': {}, 'platform': 'ENVISAT', 'product_version': '4.21', 'project': 'Climate Change Initiative - European Space Agency', 'projection': 'equirectangular', 'references': 'http:\\/\\/www.esa-aerosol-cci.org', 'resolution': '1x1 degrees', 'sensor': 'AATSR', 'source': 'ATS_TOA_1P, V6.05', 'source_name': 'AAOD550_mean', 'standard_name': 'atmosphere_optical_thickness_due_to_ambient_aerosol', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains the level-3 daily mean aerosol properties products from AATSR satellite observations. Data are processed by Swansea algorithm', 'time': '1', 'time_coverage_end': '20020724T233825Z', 'time_coverage_start': '20020724T143513Z', 'title': 'AARDVARC CCI aerosol product level 3', 'tracking_id': 'a63f9cd2-1fed-4f9a-82fd-91f1c1b966b2', 'units': '1'}
orig_version :: v4.21
project_name :: ESA Aerosol CCI
time_coverage_end :: 2012-04-10
time_coverage_resolution :: P8D
time_coverage_start :: 2002-07-24
units :: 1
url :: http://www.esa-aerosol-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

aerosol_optical_thickness_670

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 27
esa_cci_path :: /neodc/esacci/aerosol/data/AATSR_SU/L3/v4.21/DAILY/
long_name :: Aerosol optical thickness at 670 nm
orig_attrs :: {'Conventions': 'CF-1.6', 'cdm_data_type': 'grid', 'coordinates': 'latitude longitude', 'creator_email': 'p.r.j.north@swansea.ac.uk, a.heckel@swansea.ac.uk', 'creator_name': 'Swansea University', 'creator_url': 'http:\\/\\/www.swan.ac.uk\\/staff\\/academic\\/environmentsociety\\/geography\\/northpeter\\/', 'date_created': '20151022T231808Z', 'geospatial_lat_max': '90.0', 'geospatial_lat_min': '-90.0', 'geospatial_lat_resolution': '1.0', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': '180.0', 'geospatial_lon_min': '-180.0', 'geospatial_lon_resolution': '1.0', 'geospatial_lon_units': 'degrees_east', 'history': 'Level 3 product from Swansea algorithm', 'id': '20020724141127-ESACCI-L3C_AEROSOL-AER_PRODUCTS-AATSR_ENVISAT-SU_DAILY-v4.21.nc', 'inputfilelist': 'ATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1', 'keywords': 'satellite,observation,atmosphere', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'lat': 180, 'license': 'ESA CCI Data Policy: free and open access', 'lon': 360, 'long_name': 'aerosol optical thickness at 670 nm', 'naming_authority': 'uk.ac.su.aatsraerosol', 'orig_attrs': {}, 'platform': 'ENVISAT', 'product_version': '4.21', 'project': 'Climate Change Initiative - European Space Agency', 'projection': 'equirectangular', 'references': 'http:\\/\\/www.esa-aerosol-cci.org', 'resolution': '1x1 degrees', 'sensor': 'AATSR', 'source': 'ATS_TOA_1P, V6.05', 'source_name': 'AAOD550_mean', 'standard_name': 'atmosphere_optical_thickness_due_to_ambient_aerosol', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains the level-3 daily mean aerosol properties products from AATSR satellite observations. Data are processed by Swansea algorithm', 'time': '1', 'time_coverage_end': '20020724T233825Z', 'time_coverage_start': '20020724T143513Z', 'title': 'AARDVARC CCI aerosol product level 3', 'tracking_id': 'a63f9cd2-1fed-4f9a-82fd-91f1c1b966b2', 'units': '1'}
orig_version :: v4.21
project_name :: ESA Aerosol CCI
time_coverage_end :: 2012-04-10
time_coverage_resolution :: P8D
time_coverage_start :: 2002-07-24
units :: 1
url :: http://www.esa-aerosol-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

aerosol_optical_thickness_870

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 28
esa_cci_path :: /neodc/esacci/aerosol/data/AATSR_SU/L3/v4.21/DAILY/
long_name :: Aerosol optical thickness at 870 nm
orig_attrs :: {'Conventions': 'CF-1.6', 'cdm_data_type': 'grid', 'coordinates': 'latitude longitude', 'creator_email': 'p.r.j.north@swansea.ac.uk, a.heckel@swansea.ac.uk', 'creator_name': 'Swansea University', 'creator_url': 'http:\\/\\/www.swan.ac.uk\\/staff\\/academic\\/environmentsociety\\/geography\\/northpeter\\/', 'date_created': '20151022T231808Z', 'geospatial_lat_max': '90.0', 'geospatial_lat_min': '-90.0', 'geospatial_lat_resolution': '1.0', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': '180.0', 'geospatial_lon_min': '-180.0', 'geospatial_lon_resolution': '1.0', 'geospatial_lon_units': 'degrees_east', 'history': 'Level 3 product from Swansea algorithm', 'id': '20020724141127-ESACCI-L3C_AEROSOL-AER_PRODUCTS-AATSR_ENVISAT-SU_DAILY-v4.21.nc', 'inputfilelist': 'ATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1', 'keywords': 'satellite,observation,atmosphere', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'lat': 180, 'license': 'ESA CCI Data Policy: free and open access', 'lon': 360, 'long_name': 'aerosol optical thickness at 870 nm', 'naming_authority': 'uk.ac.su.aatsraerosol', 'orig_attrs': {}, 'platform': 'ENVISAT', 'product_version': '4.21', 'project': 'Climate Change Initiative - European Space Agency', 'projection': 'equirectangular', 'references': 'http:\\/\\/www.esa-aerosol-cci.org', 'resolution': '1x1 degrees', 'sensor': 'AATSR', 'source': 'ATS_TOA_1P, V6.05', 'source_name': 'AAOD550_mean', 'standard_name': 'atmosphere_optical_thickness_due_to_ambient_aerosol', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains the level-3 daily mean aerosol properties products from AATSR satellite observations. Data are processed by Swansea algorithm', 'time': '1', 'time_coverage_end': '20020724T233825Z', 'time_coverage_start': '20020724T143513Z', 'title': 'AARDVARC CCI aerosol product level 3', 'tracking_id': 'a63f9cd2-1fed-4f9a-82fd-91f1c1b966b2', 'units': '1'}
orig_version :: v4.21
project_name :: ESA Aerosol CCI
time_coverage_end :: 2012-04-10
time_coverage_resolution :: P8D
time_coverage_start :: 2002-07-24
units :: 1
url :: http://www.esa-aerosol-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

air_temperature_2m

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 4
esa_cci_path :: nan
long_name :: 2 Metre Air Temperature
orig_attrs :: {'comment': 'Air temperature at 2m from the ERA5 reanalysis product.', 'long_name': '2 metre air temperature', 'orig_attrs': {}, 'project_name': 'ERA5', 'references': '', 'source_name': 'air_temperature_2m', 'units': 'K', 'url': 'https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation'}
orig_version :: ERA5
project_name :: ERA5
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-05
units :: K
url :: https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

analysed_sst

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 44
esa_cci_path :: /neodc/esacci/sst/data/lt/Analysis/L4/v01.1/
long_name :: Analysed Sea Surface Temperature
orig_attrs :: {'Conventions': 'CF-1.5, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'Funded by ESA', 'cdm_data_type': 'grid', 'comment': 'WARNING Some applications are unable to properly handle signed byte values. If values are encountered > 127, please subtract 256 from this reported value', 'creator_email': 'science.leader@esa-sst-cci.org', 'creator_name': 'ESA SST CCI', 'creator_processing_institution': 'These data were produced at the Met Office as part of the ESA SST CCI project.', 'creator_url': 'http://www.esa-sst-cci.org', 'date_created': '20130309T132046Z', 'easternmost_longitude': 180.00001525878906, 'file_quality_level': 3, 'gds_version_id': '2.0', 'geospatial_lat_max': 90.0, 'geospatial_lat_min': -90.0, 'geospatial_lat_resolution': 0.05000000074505806, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 180.0, 'geospatial_lon_min': -180.0, 'geospatial_lon_resolution': 0.05000000074505806, 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': -0.20000000298023224, 'geospatial_vertical_min': -0.20000000298023224, 'history': 'Created using OSTIA reanalysis system v2.0', 'id': 'OSTIA-ESACCI-L4-v01.1', 'institution': 'ESACCI', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'GHRSST protocol describes data use as free and open', 'long_name': 'analysed sea surface temperature', 'metadata_link': 'http://www.esa-cci.org', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.1.3', 'northernmost_latitude': 90.0, 'orig_attrs': {}, 'platform': 'ERS-<1,2>, Envisat, NOAA-<12,14,15,16,17,18>, MetOpA', 'processing_level': 'L4', 'product_version': '1.1', 'project': 'Climate Change Initiative - European Space Agency', 'publisher_email': 'science.leader@esa-sst-cci.org', 'publisher_name': 'ESACCI', 'publisher_url': 'http://www.esa-sst-cci.org', 'references': 'http://www.esa-sst-cci.org', 'sensor': 'ATSR, AATSR, AVHRR_GAC', 'source': 'ATSR<1,2>-ESACCI-L3U-v1.0, AATSR-ESACCI-L3U-v1.0, AVHRR<12,14,15,16,17,18>_G-ESACCI-L2P-v1.0, AVHRRMTA-ESACCI-L2P-v1.0, EUMETSAT_OSI-SAF-ICE-v1.1, EUMETSAT_OSI-SAF-ICE-v2.2', 'source_dir': '/neodc/esacci/sst/data/lt/Analysis/L4/v01.1', 'source_name': 'analysed_sst', 'source_version': 'v01.1', 'southernmost_latitude': -90.0, 'spatial_resolution': '0.05 degree', 'standard_name': 'sea_water_temperature', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'start_time': '20100101T000000Z', 'stop_time': '20100101T235959Z', 'summary': 'OSTIA L4 product from the ESA SST CCI project, produced using OSTIA reanalysis system v2.0. Ice field corrected in v1.1 (v1.0 had ice from day-1). Static ice field between 20080101-20080229 and 20080501-20080521 also fixed in v1.1', 'time_coverage_duration': 'P1D', 'time_coverage_end': '20100101T235959Z', 'time_coverage_resolution': 'P1D', 'time_coverage_start': '20100101T000000Z', 'title': 'ESA SST CCI OSTIA L4 product', 'tracking_id': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'units': 'kelvin', 'url': 'http://www.esa-sst-cci.org', 'uuid': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'valid_max': 4500.0, 'valid_min': -300.0, 'westernmost_longitude': -180.0}
orig_version :: v01.1
project_name :: ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI)
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 1991-09-02
units :: kelvin
url :: http://www.esa-sst-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

bare_soil_evaporation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 55
esa_cci_path :: nan
long_name :: Bare Soil Evaporation
orig_attrs :: {'long_name': 'Bare Soil Evaporation', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Eb', 'standard_name': 'bare_soil_water_evaporation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: mm/day
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

black_sky_albedo

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 65
esa_cci_path :: nan
long_name :: Black Sky Albedo for Visible Wavebands
orig_attrs :: {'comment': 'Black sky albedo derived from the GlobAlbedo CCI project dataset', 'long_name': 'Black Sky Albedo for Visible Wavebands', 'orig_attrs': {}, 'project_name': 'GlobAlbedo', 'references': 'Muller, Jan-Peter, et al. "The ESA GLOBALBEDO project for mapping the Earth’s land surface albedo for 15 years from European sensors." Geophysical Research Abstracts. Vol. 13. 2012.', 'source_name': 'DHR_VIS', 'standard_name': 'surface_albedo_black_sky', 'units': '-', 'url': 'http://www.globalbedo.org/'}
orig_version :: nan
project_name :: GlobAlbedo
time_coverage_end :: 2012-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1998-01-05
units :: -
url :: http://www.globalbedo.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

black_sky_albedo_avhrr

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 76
esa_cci_path :: nan
long_name :: Directional Hemisphere Reflectance albedo - VIS band
orig_attrs :: {'comment': 'Black sky albedo derived from the QA4ECV Albedo Product', 'long_name': 'Directional Hemisphere Reflectance albedo - VIS band', 'orig_attrs': {}, 'project_name': 'QA4ECV - European Union Framework Program 7', 'source_name': 'DHR_VIS', 'standard_name': 'surface_albedo_black_sky', 'units': '1', 'url': 'http://www.qa4ecv.eu/'}
orig_version :: nan
project_name :: QA4ECV - European Union Framework Program 7
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1982-01-05
units :: 1
url :: http://www.qa4ecv.eu/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

burnt_area

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 54
esa_cci_path :: nan
long_name :: Monthly Burnt Area
orig_attrs :: {'comment': 'Burnt Area based on the GFED4 fire product.', 'long_name': 'Monthly Burnt Area', 'orig_attrs': {}, 'project_name': 'GFED4', 'references': 'Giglio, Louis, James T. Randerson, and Guido R. Werf. "Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4)." Journal of Geophysical Research: Biogeosciences 118.1 (2013): 317-328.', 'source_name': 'BurntArea', 'standard_name': 'burnt_area', 'units': 'hectares', 'url': 'http://www.globalfiredata.org/'}
orig_version :: gfed4
project_name :: GFED4
time_coverage_end :: 2014-03-02
time_coverage_resolution :: P8D
time_coverage_start :: 1995-01-05
units :: hectares
url :: http://www.globalfiredata.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

c_emissions

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 53
esa_cci_path :: nan
long_name :: Carbon Dioxide Emissions Due to Natural Fires
orig_attrs :: {'comment': 'Carbon emissions by fires based on the GFED4 fire product.', 'long_name': 'Carbon dioxide emissions due to natural fires expressed as carbon flux.', 'orig_attrs': {}, 'project_name': 'GFED4', 'references': 'Giglio, Louis, James T. Randerson, and Guido R. Werf. "Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4)." Journal of Geophysical Research: Biogeosciences 118.1 (2013): 317-328.', 'source_name': 'Emission', 'standard_name': 'surface_upward_mass_flux_of_carbon_dioxide_expressed_as_carbon_due_to_emission_from_fires', 'units': 'g C m-2 month-1', 'url': 'http://www.globalfiredata.org/'}
orig_version :: gfed4
project_name :: GFED4
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
units :: g C m-2 month-1
url :: http://www.globalfiredata.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cee

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 30
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Effective Emissivity at 10.8 um
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud effective emissivity at 10.8 um', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cee', 'spatial_resolution': '0.50 degree', 'standard_name': 'cee', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': '1', 'url': 'http://www.dwd.de', 'valid_max': 1.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: 1
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cer

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 31
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Effective Radius
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud effective radius', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cer', 'spatial_resolution': '0.50 degree', 'standard_name': 'cer', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'um', 'url': 'http://www.dwd.de', 'valid_max': 200.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: um
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cfc

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 32
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud fraction
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud fraction', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cfc', 'spatial_resolution': '0.50 degree', 'standard_name': 'cfc', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': '1', 'url': 'http://www.dwd.de', 'valid_max': 1.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: 1
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

chlor_a

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 29
esa_cci_path :: /neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/chlor_a/daily/v3.1
long_name :: Chlorophyll-a Concentration in Seawater
orig_attrs :: {'Conventions': 'CF-1.6', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'ancillary_variables': 'chlor_a_log10_rmsd chlor_a_log10_bias', 'cdm_data_type': 'Grid', 'comment': 'See summary attribute', 'creation_date': '20160822T065128Z', 'creator_email': 'help@esa-oceancolour-cci.org', 'creator_name': 'Plymouth Marine Laboratory', 'creator_url': 'http://esa-oceancolour-cci.org', 'date_created': '20160822T065128Z', 'geospatial_lat_max': 90.0, 'geospatial_lat_min': -90.0, 'geospatial_lat_resolution': '.04166666666666666666', 'geospatial_lat_units': 'decimal degrees north', 'geospatial_lon_max': 180.0, 'geospatial_lon_min': -180.0, 'geospatial_lon_resolution': '.04166666666666666666', 'geospatial_lon_units': 'decimal degrees east', 'geospatial_vertical_max': 0.0, 'geospatial_vertical_min': 0.0, 'grid_mapping': 'crs', 'history': 'Source data were: NASA OBPG SeaWiFS level2 R2014.0 LAC and GAC [A/C via l2gen], NASA OBPG VIIRS L2 R2014.0.1 (identical to R2014.0.2) [A/C via l2gen], NASA OBPG MODIS Aqua level 1A [A/C: l2gen equivalent to R2014.0.1 + Polymer 3.5] and ESA MERIS L1B (3rd reprocessing inc OCL correction) [Polymer v3.5]; Derived products were mainly produced with functions validated from the current NASA SeaDAS release and some custom implementations. Uncertainty generation determined by the fuzzy classifier scheme of Tim Moore (2009) and Thomas Jackson et al (2017)', 'id': 'ESACCI-OC-L3S-CHLOR_A-MERGED-1D_DAILY_4km_GEO_PML_OCx-20120101-fv3.1.nc', 'institution': 'Plymouth Marine Laboratory', 'keywords': 'satellite,observation,ocean,ocean colour', 'keywords_vocabulary': 'none', 'license': 'ESA CCI Data Policy: free and open access. When referencing, please use: Ocean Colour Climate Change Initiative dataset, Version <Version Number>, European Space Agency, available online at http://www.esa-oceancolour-cci.org. We would also appreciate being notified of publications so that we can list them on the project website at http://www.esa-oceancolour-cci.org/?q=publications', 'long_name': "Chlorophyll-a concentration in seawater (not log-transformed), generated by SeaDAS using a blended combination of OCI (OC4v6 + Hu's CI), OC3 and OC5, depending on water class memberships", 'naming_authority': 'uk.ac.pml', 'netcdf_file_type': 'NETCDF4_CLASSIC', 'number_of_optical_water_types': '14', 'orig_attrs': {}, 'parameter_vocab_uri': 'http://vocab.nerc.ac.uk/collection/P04/current/', 'platform': 'Orbview-2,Aqua,Envisat,Suomi-NPP', 'processing_level': 'Level-3', 'product_version': '3.1', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-oceancolour-cci.org/', 'sensor': 'SeaWiFS,MODIS,MERIS,VIIRS', 'source': 'NASA SeaWiFS L2 R2014.0 LAC and GAC, MODIS-Aqua L1A, MERIS L1B 3rd reprocessing inc OCL corrections, NASA VIIRS L2 R2014.0.1 (data identical to R2014.0.2)', 'source_dir': '/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/chlor_a/daily/v3.1/', 'source_name': 'chlor_a', 'source_version': 'v3.1', 'spatial_resolution': '4km nominal at equator', 'standard_name': 'mass_concentration_of_chlorophyll_a_in_sea_water', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Conventions Version 1.6', 'start_date': '01-JAN-2012 00:00:00.000000', 'stop_date': '01-JAN-2012 23:59:00.000000', 'summary': "Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products. MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013. VIIRS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS and MODIS from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v3.5 (for atmospheric correction). The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM. Derived products were generally computed with the standard SeaDAS algorithms. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).", 'time_coverage_duration': 'P1D', 'time_coverage_end': '201201012359Z', 'time_coverage_resolution': 'P1D', 'time_coverage_start': '201201010000Z', 'title': 'ESA CCI Ocean Colour Product', 'tracking_id': '4e0985e0-f157-40f6-b0f1-0a2bb0261f12', 'units': 'milligram m-3', 'units_nonstandard': 'mg m^-3', 'url': 'http://esa-oceancolour-cci.org'}
orig_version :: v3.1
project_name :: ESA CCI Ocean Colour Product
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1997-09-02
units :: milligram m-3
url :: http://esa-oceancolour-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cot

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 35
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Optical Thickness
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud optical thickness', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cot', 'spatial_resolution': '0.50 degree', 'standard_name': 'cot', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': '1', 'url': 'http://www.dwd.de', 'valid_max': 320.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: 1
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

country_mask

(time, lat, lon)

float64

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

orig_attrs :: {'ds_method': 'MODE', 'orig_attrs': {}, 'source_name': 'country_mask', 'standard_name': 'country_mask', 'units': '-'}
units :: -





  
      Array  Chunk 
  
  
     Bytes  14.12 GB   8.29 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float64  numpy.ndarray

cph

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 39
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Fraction of Liquid Water Clouds
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'fraction of liquid water clouds', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cph', 'spatial_resolution': '0.50 degree', 'standard_name': 'cph', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': '1', 'url': 'http://www.dwd.de', 'valid_max': 1.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: 1
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cth

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 36
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Top Height
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud top height', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cth', 'spatial_resolution': '0.50 degree', 'standard_name': 'cth', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'km', 'url': 'http://www.dwd.de', 'valid_max': 20.0, 'valid_min': -1.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: km
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

ctp

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 37
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Top Pressure
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud top pressure', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'ctp', 'spatial_resolution': '0.50 degree', 'standard_name': 'ctp', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'hPa', 'url': 'http://www.dwd.de', 'valid_max': 1200.0, 'valid_min': 50.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: hPa
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

ctt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 38
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Top Temperature
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud top temperature', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'ctt', 'spatial_resolution': '0.50 degree', 'standard_name': 'ctt', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'K', 'url': 'http://www.dwd.de', 'valid_max': 320.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: K
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

evaporation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 56
esa_cci_path :: nan
long_name :: Evaporation
orig_attrs :: {'long_name': 'Evaporation', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'E', 'standard_name': 'water_evaporation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: mm/day
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

evaporative_stress

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 57
esa_cci_path :: nan
long_name :: Evaporative Stress Factor
orig_attrs :: {'long_name': 'Evaporative Stress Factor', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'S', 'standard_name': 'evaporative_stress_factor', 'units': '', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

fapar_tip

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 74
esa_cci_path :: nan
long_name :: Fraction of Absorbed PAR
orig_attrs :: {'long_name': 'Fraction of Absorbed Photosynthetically Active Radiation', 'orig_attrs': {}, 'project_name': 'QA4ECV', 'source_name': 'fapar', 'standard_name': 'fapar', 'units': '1', 'url': 'http://www.qa4ecv.eu/'}
orig_version :: nan
project_name :: QA4ECV
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1982-01-05
units :: 1
url :: http://www.qa4ecv.eu/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

fat_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 21
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column (Fixed Altitude)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on Fixed Altitude definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'fat_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

fat_p

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 17
esa_cci_path :: nan
long_name :: Tropopause Air Pressure for the Fixed Altitude Tropopause
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropopause_air_pressure for the Fixed Altitude Tropopause', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'fat_p', 'standard_name': 'tropopause_air_pressure', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'hPa', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: hPa
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

flt_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 19
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on Fixed Layers definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'flt_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

flt_p

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 18
esa_cci_path :: nan
long_name :: Tropopause Air Pressure for the Fixed Layer Tropopause
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropopause_air_pressure for the fixed layer tropopause', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'flt_p', 'standard_name': 'tropopause_air_pressure', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'hPa', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: hPa
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

fractional_snow_cover

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 68
esa_cci_path :: nan
long_name :: Surface Fraction Covered by Snow
orig_attrs :: {'comment': 'Grid cell fractional snow cover based on the Globsnow CCI product.', 'long_name': 'Surface fraction covered by snow.', 'orig_attrs': {}, 'project_name': 'GlobSnow', 'references': 'Luojus, Kari, et al. "ESA DUE Globsnow-Global Snow Database for Climate Research." ESA Special Publication. Vol. 686. 2010.', 'source_name': 'MFSC', 'standard_name': 'surface_snow_area_fraction', 'units': 'percent', 'url': 'http://www.globsnow.info/'}
orig_version :: v2.0
project_name :: GlobSnow
time_coverage_end :: 2013-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: percent
url :: http://www.globsnow.info/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_fat_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 22
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column (Fixed Altitude)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on Fixed Altitude definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_fat_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_flt_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 23
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column (Fixed Layers)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on Fixed Layers definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_flt_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_lrt_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 20
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column ( Lapse Rate)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on lapse rate definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_lrt_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_msr_flt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 8
esa_cci_path :: nan
long_name :: Residual MSR-FLT (Stratospheric Part Partial)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'residual MSR-FLT_stratospheric_part partial ozone column in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_msr_flt', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_msr_lrt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 10
esa_cci_path :: nan
long_name :: Residual MSR-LRT (Stratospheric Part Partial)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'residual MSR-LRT_stratospheric_part partial ozone column in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_msr_lrt', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

gross_primary_productivity

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 47
esa_cci_path :: nan
long_name :: Gross Primary Productivity
orig_attrs :: {'comment': 'Gross Carbon uptake of of the ecosystem through photosynthesis', 'long_name': 'Gross Primary Productivity', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'GPPall', 'standard_name': 'gross_primary_productivity_of_carbon', 'units': 'gC m-2 day-1', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
units :: gC m-2 day-1
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

interception_loss

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 58
esa_cci_path :: nan
long_name :: Interception Loss
orig_attrs :: {'long_name': 'Interception Loss', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Ei', 'standard_name': 'interception_loss', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: mm/day
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

iwp

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 33
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Ice Water Path
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud ice water path', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'iwp', 'spatial_resolution': '0.50 degree', 'standard_name': 'iwp', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'g/m2', 'url': 'http://www.dwd.de', 'valid_max': 32000.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: g/m2
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

land_surface_temperature

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 69
esa_cci_path :: nan
long_name :: Land Surface Temperature
orig_attrs :: {'comment': 'Advanced Along Track Scanning Radiometer pixel land surface temperature product', 'long_name': 'Land Surface Temperature', 'orig_attrs': {}, 'project_name': 'GlobTemperature', 'references': 'Jiménez, C., et al. "Inversion of AMSR‐E observations for land surface temperature estimation: 1. Methodology and evaluation with station temperature." Journal of Geophysical Research: Atmospheres 122.6 (2017): 3330-3347.', 'source_name': 'LST', 'standard_name': 'surface_temperature', 'units': 'K', 'url': 'http://data.globtemperature.info/'}
orig_version :: nan
project_name :: GlobTemperature
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2002-05-21
units :: K
url :: http://data.globtemperature.info/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

latent_energy

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 48
esa_cci_path :: nan
long_name :: Latent Energy
orig_attrs :: {'comment': 'Latent heat flux from the surface.', 'long_name': 'Latent Energy', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'LE', 'standard_name': 'surface_upward_latent_heat_flux', 'units': 'W m-2', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
units :: W m-2
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

leaf_area_index

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 73
esa_cci_path :: nan
long_name :: Effective Leaf Area Index
orig_attrs :: {'long_name': 'Effective Leaf Area Index', 'orig_attrs': {}, 'project_name': 'QA4ECV', 'source_name': 'Lai', 'standard_name': 'leaf_area_index', 'units': '1', 'url': 'http://www.qa4ecv.eu/'}
orig_version :: nan
project_name :: QA4ECV
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1982-01-05
units :: 1
url :: http://www.qa4ecv.eu/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

lrt_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 24
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column (Lapse Rate)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on lapse rate definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'lrt_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

lrt_p

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 16
esa_cci_path :: nan
long_name :: Tropopause Air Pressure (Lapse Rate)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropopause_air_pressure for the lapse rate tropopause', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'lrt_p', 'standard_name': 'tropopause_air_pressure', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'hPa', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: hPa
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

lwp

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 34
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Liquid Water Path
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud liquid water path', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'lwp', 'spatial_resolution': '0.50 degree', 'standard_name': 'lwp', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'g/m2', 'url': 'http://www.dwd.de', 'valid_max': 32000.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: g/m2
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

mask

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 46
esa_cci_path :: /neodc/esacci/sst/data/lt/Analysis/L4/v01.1/
long_name :: Sea/Land/Lake/Ice Field Composite Mask
orig_attrs :: {'Conventions': 'CF-1.5, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'Funded by ESA', 'cdm_data_type': 'grid', 'comment': 'WARNING Some applications are unable to properly handle signed byte values. If values are encountered > 127, please subtract 256 from this reported value', 'creator_email': 'science.leader@esa-sst-cci.org', 'creator_name': 'ESA SST CCI', 'creator_processing_institution': 'These data were produced at the Met Office as part of the ESA SST CCI project.', 'creator_url': 'http://www.esa-sst-cci.org', 'date_created': '20130309T132046Z', 'easternmost_longitude': 180.00001525878906, 'file_quality_level': 3, 'gds_version_id': '2.0', 'geospatial_lat_max': 90.0, 'geospatial_lat_min': -90.0, 'geospatial_lat_resolution': 0.05000000074505806, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 180.0, 'geospatial_lon_min': -180.0, 'geospatial_lon_resolution': 0.05000000074505806, 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': -0.20000000298023224, 'geospatial_vertical_min': -0.20000000298023224, 'history': 'Created using OSTIA reanalysis system v2.0', 'id': 'OSTIA-ESACCI-L4-v01.1', 'institution': 'ESACCI', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'GHRSST protocol describes data use as free and open', 'long_name': 'sea/land/lake/ice field composite mask', 'metadata_link': 'http://www.esa-cci.org', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.1.3', 'northernmost_latitude': 90.0, 'orig_attrs': {}, 'platform': 'ERS-<1,2>, Envisat, NOAA-<12,14,15,16,17,18>, MetOpA', 'processing_level': 'L4', 'product_version': '1.1', 'project': 'Climate Change Initiative - European Space Agency', 'publisher_email': 'science.leader@esa-sst-cci.org', 'publisher_name': 'ESACCI', 'publisher_url': 'http://www.esa-sst-cci.org', 'references': 'http://www.esa-sst-cci.org', 'sensor': 'ATSR, AATSR, AVHRR_GAC', 'source': 'ATSR<1,2>-ESACCI-L3U-v1.0, AATSR-ESACCI-L3U-v1.0, AVHRR<12,14,15,16,17,18>_G-ESACCI-L2P-v1.0, AVHRRMTA-ESACCI-L2P-v1.0, EUMETSAT_OSI-SAF-ICE-v1.1, EUMETSAT_OSI-SAF-ICE-v2.2', 'source_dir': '/neodc/esacci/sst/data/lt/Analysis/L4/v01.1', 'source_name': 'mask', 'source_version': 'v01.1', 'southernmost_latitude': -90.0, 'spatial_resolution': '0.05 degree', 'standard_name': 'mask', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'start_time': '20100101T000000Z', 'stop_time': '20100101T235959Z', 'summary': 'OSTIA L4 product from the ESA SST CCI project, produced using OSTIA reanalysis system v2.0. Ice field corrected in v1.1 (v1.0 had ice from day-1). Static ice field between 20080101-20080229 and 20080501-20080521 also fixed in v1.1', 'time_coverage_duration': 'P1D', 'time_coverage_end': '20100101T235959Z', 'time_coverage_resolution': 'P1D', 'time_coverage_start': '20100101T000000Z', 'title': 'ESA SST CCI OSTIA L4 product', 'tracking_id': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'url': 'http://www.esa-sst-cci.org', 'uuid': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'valid_max': 31.0, 'valid_min': 1.0, 'westernmost_longitude': -180.0}
orig_version :: v01.1
project_name :: ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI)
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 1991-09-02
url :: http://www.esa-sst-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

max_air_temperature_2m

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 6
esa_cci_path :: nan
long_name :: Maximum 2 Metre Air Temperature
orig_attrs :: {'comment': 'Air temperature at 2m from the ERA5 reanalysis product.', 'long_name': 'Maximum 2 metre air temperature', 'orig_attrs': {}, 'project_name': 'ERA5', 'references': '', 'source_name': 'max_air_temperature_2m', 'units': 'K', 'url': 'https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation'}
orig_version :: ERA5
project_name :: ERA5
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-05
units :: K
url :: https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

min_air_temperature_2m

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 7
esa_cci_path :: nan
long_name :: Minimum 2 Metre Air Temperature
orig_attrs :: {'comment': 'Air temperature at 2m from the ERA5 reanalysis product.', 'long_name': 'Minimum 2 metre air temperature', 'orig_attrs': {}, 'project_name': 'ERA5', 'references': '', 'source_name': 'min_air_temperature_2m', 'units': 'K', 'url': 'https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation'}
orig_version :: ERA5
project_name :: ERA5
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-05
units :: K
url :: https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

msr_flt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 9
esa_cci_path :: nan
long_name :: Residual MSR-FLT (Stratospheric Part Partial)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'residual MSR-FLT_stratospheric_part partial ozone column in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'msr_flt', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
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     Type  float32  numpy.ndarray

msr_lrt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 11
esa_cci_path :: nan
long_name :: Residual MSR-LRT (Stratospheric Part Partial)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'residual MSR-LRT_stratospheric_part partial ozone column in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'msr_lrt', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

net_ecosystem_exchange

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 49
esa_cci_path :: nan
long_name :: Net Ecosystem Exchange
orig_attrs :: {'comment': 'Net carbon exchange between the ecosystem and the atmopshere.', 'long_name': 'Net Ecosystem Exchange', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'NEE', 'standard_name': 'net_primary_productivity_of_carbon', 'units': 'gC m-2 day-1', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
units :: gC m-2 day-1
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

net_radiation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 50
esa_cci_path :: nan
long_name :: Net Radiation
orig_attrs :: {'comment': 'Net radiation to the surface', 'long_name': 'Net Radiation', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'Rn', 'standard_name': 'surface_net_radiation_flux', 'units': 'W m-2', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
units :: W m-2
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
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     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

open_water_evaporation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 59
esa_cci_path :: nan
long_name :: Open-Water Evaporation
orig_attrs :: {'long_name': 'Open-water Evaporation', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Ew', 'standard_name': 'water_evaporation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: mm/day
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

ozone

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 72
esa_cci_path :: /neodc/esacci/ozone/data/total_columns/l3/merged/v0100/
long_name :: Mean Total Ozone Column in dobson units
orig_attrs :: {'comment': 'Atmospheric ozone based on the Ozone CCI data.', 'long_name': 'Mean total ozone column in dobson units', 'orig_attrs': {}, 'project_name': 'Ozone CCI', 'references': 'Laeng, A., et al. "The ozone climate change initiative: Comparison of four Level-2 processors for the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)." Remote Sensing of Environment 162 (2015): 316-343.', 'source_name': 'atmosphere_mole_content_of_ozone', 'standard_name': 'atmosphere_mole_content_of_ozone', 'units': 'DU', 'url': 'http://www.esa-ozone-cci.org/'}
orig_version :: v0100
project_name :: Ozone CCI
time_coverage_end :: 2011-06-30
time_coverage_resolution :: P8D
time_coverage_start :: 1996-03-09
units :: DU
url :: http://www.esa-ozone-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

par

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 3
esa_cci_path :: nan
long_name :: Photosynthetically Active Radiation
orig_attrs :: {'long_name': 'Photosynthetically active radiation', 'orig_attrs': {}, 'project_name': 'BESS', 'references': 'Ryu, Y.*, Jiang, C., Kobayashi, H., & Detto, M. (2018). MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000. Remote Sensing of Environment, 204, 812-825', 'source_name': 'surface_downwelling_photosynthetic_radiative_flux_in_air', 'standard_name': 'surface_downwelling_photosynthetic_radiative_flux_in_air', 'units': 'W m-2', 'url': 'http://environment.snu.ac.kr/bess_rad/'}
orig_version :: 15.10.2017
project_name :: BESS
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-03-01
units :: W m-2
url :: http://environment.snu.ac.kr/bess_rad/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

pardiff

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 1
esa_cci_path :: nan
long_name :: Diffuse Photosynthetically Active Radiation
orig_attrs :: {'long_name': 'Diffuse Photosynthetically active radiation', 'orig_attrs': {}, 'project_name': 'BESS', 'references': 'Ryu, Y.*, Jiang, C., Kobayashi, H., & Detto, M. (2018). MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000. Remote Sensing of Environment, 204, 812-825', 'source_name': 'surface_diffuse_downwelling_photosynthetic_radiative_flux_in_air', 'standard_name': 'surface_diffuse_downwelling_photosynthetic_radiative_flux_in_air', 'units': 'W m-2', 'url': 'http://environment.snu.ac.kr/bess_rad/'}
orig_version :: 15.10.2017
project_name :: BESS
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-03-01
units :: W m-2
url :: http://environment.snu.ac.kr/bess_rad/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

potential_evaporation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 60
esa_cci_path :: nan
long_name :: Potential Evaporation
orig_attrs :: {'long_name': 'Potential Evaporation', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Ep', 'standard_name': 'potential_water_evaporation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: mm/day
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

precipitation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 71
esa_cci_path :: nan
long_name :: Precipitation
orig_attrs :: {'comment': 'Precipitation based on the GPCP dataset.', 'long_name': 'Precip - RealTime [RT] (see documentation for more information)', 'orig_attrs': {}, 'project_name': 'GPCP', 'references': 'Adler, Robert F., et al. "The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present)." Journal of hydrometeorology 4.6 (2003): 1147-1167.', 'source_name': 'Precip', 'standard_name': 'precipitation_flux', 'units': 'mm/day', 'url': 'http://precip.gsfc.nasa.gov/'}
orig_version :: nan
project_name :: GPCP
time_coverage_end :: 2015-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
units :: mm/day
url :: http://precip.gsfc.nasa.gov/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

precipitation_era5

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 5
esa_cci_path :: nan
long_name :: ERA5 Precipitation
orig_attrs :: {'comment': 'Total precipitation from the ERA5 reanalysis product.', 'long_name': 'ERA 5 Precipitation', 'orig_attrs': {}, 'project_name': 'ERA5', 'references': '', 'source_name': 'precipitation', 'units': 'K', 'url': 'https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation'}
orig_version :: ERA5
project_name :: ERA5
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-05
units :: K
url :: https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

psurf

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 12
esa_cci_path :: nan
long_name :: Surface Air Pressure
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'surface_air_pressure', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'psurf', 'standard_name': 'surface_air_pressure', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'hPa', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: hPa
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

root_moisture

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 61
esa_cci_path :: nan
long_name :: Root-Zone Soil Moisture
orig_attrs :: {'long_name': 'Root-Zone Soil Moisture', 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'SMroot', 'standard_name': 'soil_moisture_content', 'units': 'm3/m3', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: m3/m3
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
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     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

sea_ice_fraction

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 45
esa_cci_path :: /neodc/esacci/sst/data/lt/Analysis/L4/v01.1/
long_name :: Sea Ice Area Fraction
orig_attrs :: {'Conventions': 'CF-1.5, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'Funded by ESA', 'cdm_data_type': 'grid', 'comment': 'WARNING Some applications are unable to properly handle signed byte values. If values are encountered > 127, please subtract 256 from this reported value', 'creator_email': 'science.leader@esa-sst-cci.org', 'creator_name': 'ESA SST CCI', 'creator_processing_institution': 'These data were produced at the Met Office as part of the ESA SST CCI project.', 'creator_url': 'http://www.esa-sst-cci.org', 'date_created': '20130309T132046Z', 'easternmost_longitude': 180.00001525878906, 'file_quality_level': 3, 'gds_version_id': '2.0', 'geospatial_lat_max': 90.0, 'geospatial_lat_min': -90.0, 'geospatial_lat_resolution': 0.05000000074505806, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 180.0, 'geospatial_lon_min': -180.0, 'geospatial_lon_resolution': 0.05000000074505806, 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': -0.20000000298023224, 'geospatial_vertical_min': -0.20000000298023224, 'history': 'Created using OSTIA reanalysis system v2.0', 'id': 'OSTIA-ESACCI-L4-v01.1', 'institution': 'ESACCI', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'GHRSST protocol describes data use as free and open', 'long_name': 'sea ice area fraction', 'metadata_link': 'http://www.esa-cci.org', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.1.3', 'northernmost_latitude': 90.0, 'platform': 'ERS-<1,2>, Envisat, NOAA-<12,14,15,16,17,18>, MetOpA', 'processing_level': 'L4', 'product_version': '1.1', 'project': 'Climate Change Initiative - European Space Agency', 'publisher_email': 'science.leader@esa-sst-cci.org', 'publisher_name': 'ESACCI', 'publisher_url': 'http://www.esa-sst-cci.org', 'references': 'http://www.esa-sst-cci.org', 'sensor': 'ATSR, AATSR, AVHRR_GAC', 'source': 'ATSR<1,2>-ESACCI-L3U-v1.0, AATSR-ESACCI-L3U-v1.0, AVHRR<12,14,15,16,17,18>_G-ESACCI-L2P-v1.0, AVHRRMTA-ESACCI-L2P-v1.0, EUMETSAT_OSI-SAF-ICE-v1.1, EUMETSAT_OSI-SAF-ICE-v2.2', 'source_dir': '/neodc/esacci/sst/data/lt/Analysis/L4/v01.1', 'source_name': 'sea_ice_fraction', 'source_version': 'v01.1', 'southernmost_latitude': -90.0, 'spatial_resolution': '0.05 degree', 'standard_name': 'sea_ice_area_fraction', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'summary': 'OSTIA L4 product from the ESA SST CCI project, produced using OSTIA reanalysis system v2.0. Ice field corrected in v1.1 (v1.0 had ice from day-1). Static ice field between 20080101-20080229 and 20080501-20080521 also fixed in v1.1', 'time_coverage_duration': 'P1D', 'time_coverage_end': '20100101T235959Z', 'time_coverage_resolution': 'P1D', 'time_coverage_start': '20100101T000000Z', 'title': 'ESA SST CCI OSTIA L4 product', 'tracking_id': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'units': '1', 'url': 'http://www.esa-sst-cci.org', 'uuid': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'valid_max': 100.0, 'valid_min': 0.0, 'westernmost_longitude': -180.0}
orig_version :: v01.1
project_name :: ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI)
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 1991-09-02
units :: 1
url :: http://www.esa-sst-cci.org





  
      Array  Chunk 
  
  
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     Type  float32  numpy.ndarray

sensible_heat

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 51
esa_cci_path :: nan
long_name :: Sensible Heat
orig_attrs :: {'comment': 'Sensible heat flux from the surface', 'long_name': 'Sensible Heat', 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'H', 'standard_name': 'surface_upward_sensible_heat_flux', 'units': 'W m-2', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
units :: W m-2
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
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     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

snow_sublimation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 62
esa_cci_path :: nan
long_name :: Snow Sublimation
orig_attrs :: {'long_name': 'Snow Sublimation', 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Es', 'standard_name': 'snow_sublimation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: mm/day
url :: http://www.gleam.eu





  
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     Type  float32  numpy.ndarray

snow_water_equivalent

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 67
esa_cci_path :: nan
long_name :: Daily Snow Water Equivalent
orig_attrs :: {'certain_values': '-2 == mountains, -1 == water bodies, 0 == either SWE, or missing data in the southern hemisphere', 'comment': 'Grid cell fractional snow cover based on the Globsnow CCI product.', 'long_name': 'Daily Snow Water Equivalent', 'project_name': 'GlobSnow', 'references': 'Luojus, Kari, et al. "ESA DUE Globsnow-Global Snow Database for Climate Research." ESA Special Publication. Vol. 686. 2010.', 'source_name': 'SWE', 'units': 'mm', 'url': 'http://www.globsnow.info/'}
orig_version :: v2.0
project_name :: GlobSnow
time_coverage_end :: 2012-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
units :: mm
url :: http://www.globsnow.info/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

soil_moisture

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 78
esa_cci_path :: /neodc/esacci/soil_moisture/data/daily_files/COMBINED/v04.2/
long_name :: Soil Moisture
orig_attrs :: {'comment': 'Soil moisture based on the SOilmoisture CCI project', 'long_name': 'Soil Moisture', 'project_name': 'SoilMoisture CCI', 'references': 'Liu, Y.Y., Parinussa, R.M., Dorigo, W.A., De Jeu, R.A.M., Wagner, W., McCabe, M.F., Evans, J.P., and van Dijk, A.I.J.M. (2012): Trend-preserving blending of passive and active microwave soil moisture retrievals; Liu, Y.Y., Parinussa, R.M., Dorigo, W.A., De Jeu, R.A.M., Wagner, W., van Dijk, A.I.J.M., McCabe, M.F., & Evans, J.P. (2011): Developing an improved soil moisture dataset by blending passive and active microwave satellite based retrievals. Hydrology and Earth System Sciences, 15, 425-436.', 'source_name': 'SoilMoisture', 'standard_name': 'soil_moisture_content', 'units': 'm3', 'url': 'http://www.esa-soilmoisture-cci.org'}
orig_version :: v04.2
project_name :: SoilMoisture CCI
time_coverage_end :: 2014-01-29
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
units :: m3
url :: http://www.esa-soilmoisture-cci.org





  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

srex_mask

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 77
esa_cci_path :: nan
long_name :: Mask for SREX Regions
orig_attrs :: {'ds_method': 'MODE', 'long_name': 'Mask for SREX regions', 'source_name': 'layer', 'standard_name': 'srex_mask', 'units': '-'}
orig_version :: nan
project_name :: regionmask - SREX Regions
time_coverage_end :: 1980-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
units :: -
url :: https://regionmask.readthedocs.io/





  
      Array  Chunk 
  
  
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     Type  float32  numpy.ndarray

stemp

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 40
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Surface Temperature
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'surface temperature', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'stemp', 'spatial_resolution': '0.50 degree', 'standard_name': 'stemp', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'K', 'url': 'http://www.dwd.de', 'valid_max': 320.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
units :: K
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

surface_moisture

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 63
esa_cci_path :: nan
long_name :: Surface Soil Moisture
orig_attrs :: {'long_name': 'Surface Soil Moisture', 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'SMsurf', 'standard_name': 'soil_moisture_content', 'units': 'mm3/mm3', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: mm3/mm3
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

terrestrial_ecosystem_respiration

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 52
esa_cci_path :: nan
long_name :: Terrestrial Ecosystem Respiration
orig_attrs :: {'comment': 'Total carbon release of the ecosystem through respiration.', 'long_name': 'Terrestrial Ecosystem Respiration', 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'TERall', 'standard_name': 'ecosystem_respiration_carbon_flux', 'units': 'gC m-2 day-1', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2012-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
units :: gC m-2 day-1
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

totcol_assim

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 13
esa_cci_path :: nan
long_name :: Total Ozone Column (Assimilated TM5 data)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'total ozone column derived from assimilated TM5 data', 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'totcol_assim', 'standard_name': 'atmosphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
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     Type  float32  numpy.ndarray

totcol_free

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 14
esa_cci_path :: nan
long_name :: Total Ozone Column (Assimilated TM5 data)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'total ozone column derived from assimilated TM5 data', 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'totcol_free', 'standard_name': 'atmosphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

totcol_msr

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 15
esa_cci_path :: nan
long_name :: Total Ozone Column (MSR data)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'total ozone column derived from MSR data', 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'totcol_msr', 'standard_name': 'atmosphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
units :: mol m-2
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

transpiration

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 64
esa_cci_path :: nan
long_name :: Transpiration
orig_attrs :: {'long_name': 'Transpiration', 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Et', 'standard_name': 'transpiration_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
units :: mm/day
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
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     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

water_mask

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 43
esa_cci_path :: /neodc/esacci/land_cover/data/water_bodies/v4.0/
long_name :: Terrestrial or Water Pixel Classification
orig_attrs :: {'long_name': 'Terrestrial or water pixel classification', 'project_name': 'Climate Change Initiative - European Space Agency', 'source_name': 'wb_class', 'standard_name': 'land_cover_lccs', 'units': '-', 'url': 'http://www.esa-landcover-cci.org'}
orig_version :: v4.0
project_name :: ESA Land Cover Climate Change Initiative (Land_Cover_cci)
time_coverage_end :: 1980-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
units :: -
url :: http://www.esa-landcover-cci.org





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

water_vapour

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 70
esa_cci_path :: nan
long_name :: Total Column Water Vapour
orig_attrs :: {'comment': 'Total column water vapour based on the GlobVapour CCI product.', 'long_name': 'Total Column Water Vapour', 'project_name': 'GlobVapour', 'references': 'Schneider, Nadine, et al. "ESA DUE GlobVapour water vapor products: Validation." AIP Conference Proceedings. Vol. 1531. No. 1. 2013.', 'source_name': 'tcwv_res', 'standard_name': 'atmosphere_mass_content_of_water_vapor', 'units': 'kg m-2', 'url': 'http://www.globvapour.info/'}
orig_version :: nan
project_name :: GlobVapour
time_coverage_end :: 2008-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1996-01-05
units :: kg m-2
url :: http://www.globvapour.info/





  
      Array  Chunk 
  
  
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     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

white_sky_albedo

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 66
esa_cci_path :: nan
long_name :: White Sky Albedo for Visible Wavebands
orig_attrs :: {'comment': 'White sky albedo derived from the GlobAlbedo CCI project dataset', 'long_name': 'White Sky Albedo for Visible Wavebands', 'project_name': 'GlobAlbedo', 'references': 'Muller, Jan-Peter, et al. "The ESA GLOBALBEDO project for mapping the Earth’s land surface albedo for 15 years from European sensors." Geophysical Research Abstracts. Vol. 13. 2012.', 'source_name': 'BHR_VIS', 'standard_name': 'surface_albedo_white_sky', 'units': '-', 'url': 'http://www.globalbedo.org/'}
orig_version :: nan
project_name :: GlobAlbedo
time_coverage_end :: 2012-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1998-01-05
units :: -
url :: http://www.globalbedo.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

white_sky_albedo_avhrr

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 75
esa_cci_path :: nan
long_name :: Bi-Hemisphere Reflectance Albedo - VIS band
orig_attrs :: {'comment': 'White sky albedo derived from the QA4ECV Albedo Product', 'long_name': 'Bi-Hemisphere Reflectance albedo - VIS band', 'project_name': 'QA4ECV - European Union Framework Program 7', 'source_name': 'BHR_VIS', 'standard_name': 'surface_albedo_white_sky', 'units': '1', 'url': 'http://www.qa4ecv.eu/'}
orig_version :: nan
project_name :: QA4ECV - European Union Framework Program 7
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1982-01-05
units :: 1
url :: http://www.qa4ecv.eu/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

xch4

(time, lat, lon)

float64

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 42
esa_cci_path :: /neodc/esacci/ghg/data/obs4mips/crdp_3/CO2/v100/
long_name :: Column Average Dry-air Mole Fraction Methane
orig_attrs :: {'Conventions': 'CF-1.6', 'associated_files': 'obs4mips_co2_crdp3_v100.sav', 'cell_methods': 'time: mean', 'comment': 'Satellite retrieved column-average dry-air mole fraction of atmospheric carbon dioxide (XCO2)', 'contact': 'maximilian.reuter@iup.physik.uni-bremen.de', 'creation_date': '20160303T111125Z', 'data_structure': 'grid', 'frequency': 'mon', 'institute_id': 'IUP', 'institution': 'Institute of Environmental Physics, University of Bremen', 'long_name': 'column-average dry-air mole fraction of atmospheric carbon dioxide', 'mip_specs': 'CMIP5', 'product': 'observations', 'project_id': 'obs4MIPs', 'project_name': 'Ozone CCI', 'realm': 'atmos', 'references': 'Laeng, A., et al. "The ozone climate change initiative: Comparison of four Level-2 processors for the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)." Remote Sensing of Environment 162 (2015): 316-343.', 'source': 'ESA GHG CCI XCO2 CRDP3', 'source_id': 'XCO2_CRDP3', 'source_name': 'xch4', 'source_type': 'satellite_retrieval', 'standard_name': 'dry_atmosphere_mole_fraction_of_carbon_dioxide', 'tracking_id': '60972082-05c2-4a04-947a-99042c642c68', 'units': '1', 'url': 'http://www.esa-ghg-cci.org/'}
orig_version :: v100
project_name :: ESA Greenhouse Gases Climate Change Initiative (GHG_cci)
time_coverage_end :: 2014-12-15
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-13
units :: 1
url :: http://www.esa-ghg-cci.org/





  
      Array  Chunk 
  
  
     Bytes  14.12 GB   8.29 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float64  numpy.ndarray

xco2

(time, lat, lon)

float64

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 41
esa_cci_path :: /neodc/esacci/ghg/data/obs4mips/crdp_3/CO2/v100/
long_name :: Column Average Dry-air Mole Fraction Carbon Dioxide
orig_attrs :: {'Conventions': 'CF-1.6', 'associated_files': 'obs4mips_co2_crdp3_v100.sav', 'cell_methods': 'time: mean', 'comment': 'Satellite retrieved column-average dry-air mole fraction of atmospheric carbon dioxide (XCO2)', 'contact': 'maximilian.reuter@iup.physik.uni-bremen.de', 'creation_date': '20160303T111125Z', 'data_structure': 'grid', 'frequency': 'mon', 'institute_id': 'IUP', 'institution': 'Institute of Environmental Physics, University of Bremen', 'long_name': 'column-average dry-air mole fraction of atmospheric carbon dioxide', 'mip_specs': 'CMIP5', 'product': 'observations', 'project_id': 'obs4MIPs', 'project_name': 'Ozone CCI', 'realm': 'atmos', 'references': 'Laeng, A., et al. "The ozone climate change initiative: Comparison of four Level-2 processors for the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)." Remote Sensing of Environment 162 (2015): 316-343.', 'source': 'ESA GHG CCI XCO2 CRDP3', 'source_id': 'XCO2_CRDP3', 'source_name': 'xco2', 'source_type': 'satellite_retrieval', 'standard_name': 'dry_atmosphere_mole_fraction_of_carbon_dioxide', 'tracking_id': '60972082-05c2-4a04-947a-99042c642c68', 'units': '1', 'url': 'http://www.esa-ghg-cci.org/'}
orig_version :: v100
project_name :: ESA Greenhouse Gases Climate Change Initiative (GHG_cci)
time_coverage_end :: 2014-12-15
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-13
units :: 1
url :: http://www.esa-ghg-cci.org/





  
      Array  Chunk 
  
  
     Bytes  14.12 GB   8.29 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float64  numpy.ndarray

Attributes: (35)
Metadata_conventions :
Unidata Dataset Discovery v1.0
acknowledgment :
The ESDL team acknowledges all data providers!
chunking :
1x720x1440
comment :
none.
contributor_name :
Max Planck Institute for Biogeochemistry
contributor_role :
ESDL Science Lead
creator_email :
info@earthsystemdatalab.net
creator_name :
Brockmann Consult GmbH
creator_url :
www.earthsystemdatalab.net
date_created :
17.12.2018
date_issued :
19.12.2018
date_modified :
17.12.2018
geospatial_lat_max :
89.75
geospatial_lat_min :
-89.75
geospatial_lon_max :
179.75
geospatial_lon_min :
-179.75
geospatial_resolution :
1/4deg
history :
- processing with esdl cube v0.1 (https://github.com/esa-esdl/esdl-core/)
id :
v2.0.0
institution :
Brockmann Consult GmbH
keywords :
Earth Science, Geophysical Variables
license :
Please refer to individual variables
naming_authority :
Earth System Data Lab team
processing_level :
Level 4
project :
ESA Earth System Data Lab
publisher_email :
info@earthsystemdatalab.net
publisher_name :
Brockmann Consult GmbH & Max Planck Institute for Biogechemistry
publisher_url :
www.brockmann-consult.de
standard_name_vocabulary :
CF-1.7
summary :
This data set contains a data cube of Earth System variables created by the ESA project Earth System Data Lab.
time_coverage_duration :
P37Y
time_coverage_end :
30.12.2016
time_coverage_resolution :
P8D
time_coverage_start :
05.01.1980
title :
Earth System Data Cube

And now we can access the variables that we require only, e.g. gross_primary_productivity and soil_moisture.

variables = [
    'gross_primary_productivity',
    'soil_moisture'
]
cubes = cube_from_s3_bucket[variables]
cubes

xarray.Dataset

Dimensions:
- lat: 720
- lon: 1440
- time: 1702

Coordinates: (3)

lat

(lat)

float32

89.875 89.625 ... -89.625 -89.875

array([ 89.875,  89.625,  89.375, ..., -89.375, -89.625, -89.875],
      dtype=float32)

time

(time)

datetime64[ns]

1980-01-05 ... 2016-12-30

bounds :: time_bnds
long_name :: time
standard_name :: time

array(['1980-01-05T00:00:00.000000000', '1980-01-13T00:00:00.000000000',
       '1980-01-21T00:00:00.000000000', ..., '2016-12-14T00:00:00.000000000',
       '2016-12-22T00:00:00.000000000', '2016-12-30T00:00:00.000000000'],
      dtype='datetime64[ns]')

lon

(lon)

float32

-179.875 -179.625 ... 179.875

array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],
      dtype=float32)

Data variables: (2)

gross_primary_productivity

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 47
esa_cci_path :: nan
long_name :: Gross Primary Productivity
orig_attrs :: {'comment': 'Gross Carbon uptake of of the ecosystem through photosynthesis', 'long_name': 'Gross Primary Productivity', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'GPPall', 'standard_name': 'gross_primary_productivity_of_carbon', 'units': 'gC m-2 day-1', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
units :: gC m-2 day-1
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

soil_moisture

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 78
esa_cci_path :: /neodc/esacci/soil_moisture/data/daily_files/COMBINED/v04.2/
long_name :: Soil Moisture
orig_attrs :: {'comment': 'Soil moisture based on the SOilmoisture CCI project', 'long_name': 'Soil Moisture', 'project_name': 'SoilMoisture CCI', 'references': 'Liu, Y.Y., Parinussa, R.M., Dorigo, W.A., De Jeu, R.A.M., Wagner, W., McCabe, M.F., Evans, J.P., and van Dijk, A.I.J.M. (2012): Trend-preserving blending of passive and active microwave soil moisture retrievals; Liu, Y.Y., Parinussa, R.M., Dorigo, W.A., De Jeu, R.A.M., Wagner, W., van Dijk, A.I.J.M., McCabe, M.F., & Evans, J.P. (2011): Developing an improved soil moisture dataset by blending passive and active microwave satellite based retrievals. Hydrology and Earth System Sciences, 15, 425-436.', 'source_name': 'SoilMoisture', 'standard_name': 'soil_moisture_content', 'units': 'm3', 'url': 'http://www.esa-soilmoisture-cci.org'}
orig_version :: v04.2
project_name :: SoilMoisture CCI
time_coverage_end :: 2014-01-29
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
units :: m3
url :: http://www.esa-soilmoisture-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

Attributes: (35)
Metadata_conventions :
Unidata Dataset Discovery v1.0
acknowledgment :
The ESDL team acknowledges all data providers!
chunking :
1x720x1440
comment :
none.
contributor_name :
Max Planck Institute for Biogeochemistry
contributor_role :
ESDL Science Lead
creator_email :
info@earthsystemdatalab.net
creator_name :
Brockmann Consult GmbH
creator_url :
www.earthsystemdatalab.net
date_created :
17.12.2018
date_issued :
19.12.2018
date_modified :
17.12.2018
geospatial_lat_max :
89.75
geospatial_lat_min :
-89.75
geospatial_lon_max :
179.75
geospatial_lon_min :
-179.75
geospatial_resolution :
1/4deg
history :
- processing with esdl cube v0.1 (https://github.com/esa-esdl/esdl-core/)
id :
v2.0.0
institution :
Brockmann Consult GmbH
keywords :
Earth Science, Geophysical Variables
license :
Please refer to individual variables
naming_authority :
Earth System Data Lab team
processing_level :
Level 4
project :
ESA Earth System Data Lab
publisher_email :
info@earthsystemdatalab.net
publisher_name :
Brockmann Consult GmbH & Max Planck Institute for Biogechemistry
publisher_url :
www.brockmann-consult.de
standard_name_vocabulary :
CF-1.7
summary :
This data set contains a data cube of Earth System variables created by the ESA project Earth System Data Lab.
time_coverage_duration :
P37Y
time_coverage_end :
30.12.2016
time_coverage_resolution :
P8D
time_coverage_start :
05.01.1980
title :
Earth System Data Cube

Method II - Personal Server¶

Like I said before, I have personally downloaded the cubes on our server so I can access them in house. First let's look at the available cubes.

!ls $DATA_PATH

Cube_2019highColombiaCube_184x120x120.zarr
Cube_2019highColombiaCube_1x3360x2760.zarr
esdc-8d-0.083deg-184x270x270-2.0.0.zarr
esdc-8d-0.083deg-1x2160x4320-2.0.0.zarr
esdc-8d-0.25deg-184x90x90-2.0.0.zarr
esdc-8d-0.25deg-1x720x1440-2.0.0.zarr

We're going to open the datacube with 0.25 degree resolution that is optimized for spatial computations.

# get filename
filename = DATA_PATH.joinpath("esdc-8d-0.25deg-1x720x1440-2.0.0.zarr")

# open datacube
datacube = xr.open_zarr(str(filename))

datacube

xarray.Dataset

Dimensions:
- bnds: 2
- lat: 720
- lon: 1440
- time: 1702

Coordinates: (6)

lat

(lat)

float32

89.875 89.625 ... -89.625 -89.875

array([ 89.875,  89.625,  89.375, ..., -89.375, -89.625, -89.875],
      dtype=float32)

lat_bnds

(lat, bnds)

float32

dask.array<chunksize=(720, 2), meta=np.ndarray>





  
      Array  Chunk 
  
  
     Bytes  5.76 kB   5.76 kB 
     Shape  (720, 2)   (720, 2) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

lon

(lon)

float32

-179.875 -179.625 ... 179.875

array([-179.875, -179.625, -179.375, ...,  179.375,  179.625,  179.875],
      dtype=float32)

lon_bnds

(lon, bnds)

float32

dask.array<chunksize=(1440, 2), meta=np.ndarray>





  
      Array  Chunk 
  
  
     Bytes  11.52 kB   11.52 kB 
     Shape  (1440, 2)   (1440, 2) 
     Count  2 Tasks  1 Chunks 
     Type  float32  numpy.ndarray

time

(time)

datetime64[ns]

1980-01-05 ... 2016-12-30

bounds :: time_bnds
long_name :: time
standard_name :: time

array(['1980-01-05T00:00:00.000000000', '1980-01-13T00:00:00.000000000',
       '1980-01-21T00:00:00.000000000', ..., '2016-12-14T00:00:00.000000000',
       '2016-12-22T00:00:00.000000000', '2016-12-30T00:00:00.000000000'],
      dtype='datetime64[ns]')

time_bnds

(time, bnds)

datetime64[ns]

dask.array<chunksize=(1702, 2), meta=np.ndarray>





  
      Array  Chunk 
  
  
     Bytes  27.23 kB   27.23 kB 
     Shape  (1702, 2)   (1702, 2) 
     Count  2 Tasks  1 Chunks 
     Type  datetime64[ns]  numpy.ndarray

Data variables: (79)

Rg

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 2
esa_cci_path :: nan
long_name :: Downwelling shortwave radiation
orig_attrs :: {'long_name': 'Downwelling shortwave radiation', 'project_name': 'BESS', 'references': 'Ryu, Y.*, Jiang, C., Kobayashi, H., & Detto, M. (2018). MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000. Remote Sensing of Environment, 204, 812-825', 'source_name': 'surface_downwelling_shortwave_flux_in_air', 'standard_name': 'surface_downwelling_shortwave_flux_in_air', 'units': 'W m-2', 'url': 'http://environment.snu.ac.kr/bess_rad/'}
orig_version :: 15.10.2017
project_name :: BESS
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-03-01
url :: http://environment.snu.ac.kr/bess_rad/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

aerosol_optical_thickness_1600

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 25
esa_cci_path :: /neodc/esacci/aerosol/data/AATSR_SU/L3/v4.21/DAILY/
long_name :: Aerosol optical thickness at 1600 nm
orig_attrs :: {'Conventions': 'CF-1.6', 'cdm_data_type': 'grid', 'coordinates': 'latitude longitude', 'creator_email': 'p.r.j.north@swansea.ac.uk, a.heckel@swansea.ac.uk', 'creator_name': 'Swansea University', 'creator_url': 'http:\\/\\/www.swan.ac.uk\\/staff\\/academic\\/environmentsociety\\/geography\\/northpeter\\/', 'date_created': '20151022T231808Z', 'geospatial_lat_max': '90.0', 'geospatial_lat_min': '-90.0', 'geospatial_lat_resolution': '1.0', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': '180.0', 'geospatial_lon_min': '-180.0', 'geospatial_lon_resolution': '1.0', 'geospatial_lon_units': 'degrees_east', 'history': 'Level 3 product from Swansea algorithm', 'id': '20020724141127-ESACCI-L3C_AEROSOL-AER_PRODUCTS-AATSR_ENVISAT-SU_DAILY-v4.21.nc', 'inputfilelist': 'ATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1', 'keywords': 'satellite,observation,atmosphere', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'lat': 180, 'license': 'ESA CCI Data Policy: free and open access', 'lon': 360, 'long_name': 'aerosol optical thickness at 1600 nm', 'naming_authority': 'uk.ac.su.aatsraerosol', 'orig_attrs': {}, 'platform': 'ENVISAT', 'product_version': '4.21', 'project': 'Climate Change Initiative - European Space Agency', 'projection': 'equirectangular', 'references': 'http:\\/\\/www.esa-aerosol-cci.org', 'resolution': '1x1 degrees', 'sensor': 'AATSR', 'source': 'ATS_TOA_1P, V6.05', 'source_name': 'AAOD550_mean', 'standard_name': 'atmosphere_optical_thickness_due_to_ambient_aerosol', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains the level-3 daily mean aerosol properties products from AATSR satellite observations. Data are processed by Swansea algorithm', 'time': '1', 'time_coverage_end': '20020724T233825Z', 'time_coverage_start': '20020724T143513Z', 'title': 'AARDVARC CCI aerosol product level 3', 'tracking_id': 'a63f9cd2-1fed-4f9a-82fd-91f1c1b966b2', 'units': '1'}
orig_version :: v4.21
project_name :: ESA Aerosol CCI
time_coverage_end :: 2012-04-10
time_coverage_resolution :: P8D
time_coverage_start :: 2002-07-24
url :: http://www.esa-aerosol-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

aerosol_optical_thickness_550

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 26
esa_cci_path :: /neodc/esacci/aerosol/data/AATSR_SU/L3/v4.21/DAILY/
long_name :: Aerosol optical thickness at 550 nm
orig_attrs :: {'Conventions': 'CF-1.6', 'cdm_data_type': 'grid', 'coordinates': 'latitude longitude', 'creator_email': 'p.r.j.north@swansea.ac.uk, a.heckel@swansea.ac.uk', 'creator_name': 'Swansea University', 'creator_url': 'http:\\/\\/www.swan.ac.uk\\/staff\\/academic\\/environmentsociety\\/geography\\/northpeter\\/', 'date_created': '20151022T231808Z', 'geospatial_lat_max': '90.0', 'geospatial_lat_min': '-90.0', 'geospatial_lat_resolution': '1.0', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': '180.0', 'geospatial_lon_min': '-180.0', 'geospatial_lon_resolution': '1.0', 'geospatial_lon_units': 'degrees_east', 'history': 'Level 3 product from Swansea algorithm', 'id': '20020724141127-ESACCI-L3C_AEROSOL-AER_PRODUCTS-AATSR_ENVISAT-SU_DAILY-v4.21.nc', 'inputfilelist': 'ATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1', 'keywords': 'satellite,observation,atmosphere', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'lat': 180, 'license': 'ESA CCI Data Policy: free and open access', 'lon': 360, 'long_name': 'aerosol optical thickness at 550 nm', 'naming_authority': 'uk.ac.su.aatsraerosol', 'orig_attrs': {}, 'platform': 'ENVISAT', 'product_version': '4.21', 'project': 'Climate Change Initiative - European Space Agency', 'projection': 'equirectangular', 'references': 'http:\\/\\/www.esa-aerosol-cci.org', 'resolution': '1x1 degrees', 'sensor': 'AATSR', 'source': 'ATS_TOA_1P, V6.05', 'source_name': 'AAOD550_mean', 'standard_name': 'atmosphere_optical_thickness_due_to_ambient_aerosol', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains the level-3 daily mean aerosol properties products from AATSR satellite observations. Data are processed by Swansea algorithm', 'time': '1', 'time_coverage_end': '20020724T233825Z', 'time_coverage_start': '20020724T143513Z', 'title': 'AARDVARC CCI aerosol product level 3', 'tracking_id': 'a63f9cd2-1fed-4f9a-82fd-91f1c1b966b2', 'units': '1'}
orig_version :: v4.21
project_name :: ESA Aerosol CCI
time_coverage_end :: 2012-04-10
time_coverage_resolution :: P8D
time_coverage_start :: 2002-07-24
url :: http://www.esa-aerosol-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

aerosol_optical_thickness_670

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 27
esa_cci_path :: /neodc/esacci/aerosol/data/AATSR_SU/L3/v4.21/DAILY/
long_name :: Aerosol optical thickness at 670 nm
orig_attrs :: {'Conventions': 'CF-1.6', 'cdm_data_type': 'grid', 'coordinates': 'latitude longitude', 'creator_email': 'p.r.j.north@swansea.ac.uk, a.heckel@swansea.ac.uk', 'creator_name': 'Swansea University', 'creator_url': 'http:\\/\\/www.swan.ac.uk\\/staff\\/academic\\/environmentsociety\\/geography\\/northpeter\\/', 'date_created': '20151022T231808Z', 'geospatial_lat_max': '90.0', 'geospatial_lat_min': '-90.0', 'geospatial_lat_resolution': '1.0', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': '180.0', 'geospatial_lon_min': '-180.0', 'geospatial_lon_resolution': '1.0', 'geospatial_lon_units': 'degrees_east', 'history': 'Level 3 product from Swansea algorithm', 'id': '20020724141127-ESACCI-L3C_AEROSOL-AER_PRODUCTS-AATSR_ENVISAT-SU_DAILY-v4.21.nc', 'inputfilelist': 'ATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1', 'keywords': 'satellite,observation,atmosphere', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'lat': 180, 'license': 'ESA CCI Data Policy: free and open access', 'lon': 360, 'long_name': 'aerosol optical thickness at 670 nm', 'naming_authority': 'uk.ac.su.aatsraerosol', 'orig_attrs': {}, 'platform': 'ENVISAT', 'product_version': '4.21', 'project': 'Climate Change Initiative - European Space Agency', 'projection': 'equirectangular', 'references': 'http:\\/\\/www.esa-aerosol-cci.org', 'resolution': '1x1 degrees', 'sensor': 'AATSR', 'source': 'ATS_TOA_1P, V6.05', 'source_name': 'AAOD550_mean', 'standard_name': 'atmosphere_optical_thickness_due_to_ambient_aerosol', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains the level-3 daily mean aerosol properties products from AATSR satellite observations. Data are processed by Swansea algorithm', 'time': '1', 'time_coverage_end': '20020724T233825Z', 'time_coverage_start': '20020724T143513Z', 'title': 'AARDVARC CCI aerosol product level 3', 'tracking_id': 'a63f9cd2-1fed-4f9a-82fd-91f1c1b966b2', 'units': '1'}
orig_version :: v4.21
project_name :: ESA Aerosol CCI
time_coverage_end :: 2012-04-10
time_coverage_resolution :: P8D
time_coverage_start :: 2002-07-24
url :: http://www.esa-aerosol-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

aerosol_optical_thickness_870

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 28
esa_cci_path :: /neodc/esacci/aerosol/data/AATSR_SU/L3/v4.21/DAILY/
long_name :: Aerosol optical thickness at 870 nm
orig_attrs :: {'Conventions': 'CF-1.6', 'cdm_data_type': 'grid', 'coordinates': 'latitude longitude', 'creator_email': 'p.r.j.north@swansea.ac.uk, a.heckel@swansea.ac.uk', 'creator_name': 'Swansea University', 'creator_url': 'http:\\/\\/www.swan.ac.uk\\/staff\\/academic\\/environmentsociety\\/geography\\/northpeter\\/', 'date_created': '20151022T231808Z', 'geospatial_lat_max': '90.0', 'geospatial_lat_min': '-90.0', 'geospatial_lat_resolution': '1.0', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': '180.0', 'geospatial_lon_min': '-180.0', 'geospatial_lon_resolution': '1.0', 'geospatial_lon_units': 'degrees_east', 'history': 'Level 3 product from Swansea algorithm', 'id': '20020724141127-ESACCI-L3C_AEROSOL-AER_PRODUCTS-AATSR_ENVISAT-SU_DAILY-v4.21.nc', 'inputfilelist': 'ATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1 \nATS_TOA_1PUUPA20020724_141127_000065272008_00024_02082_5805.N1', 'keywords': 'satellite,observation,atmosphere', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'lat': 180, 'license': 'ESA CCI Data Policy: free and open access', 'lon': 360, 'long_name': 'aerosol optical thickness at 870 nm', 'naming_authority': 'uk.ac.su.aatsraerosol', 'orig_attrs': {}, 'platform': 'ENVISAT', 'product_version': '4.21', 'project': 'Climate Change Initiative - European Space Agency', 'projection': 'equirectangular', 'references': 'http:\\/\\/www.esa-aerosol-cci.org', 'resolution': '1x1 degrees', 'sensor': 'AATSR', 'source': 'ATS_TOA_1P, V6.05', 'source_name': 'AAOD550_mean', 'standard_name': 'atmosphere_optical_thickness_due_to_ambient_aerosol', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains the level-3 daily mean aerosol properties products from AATSR satellite observations. Data are processed by Swansea algorithm', 'time': '1', 'time_coverage_end': '20020724T233825Z', 'time_coverage_start': '20020724T143513Z', 'title': 'AARDVARC CCI aerosol product level 3', 'tracking_id': 'a63f9cd2-1fed-4f9a-82fd-91f1c1b966b2', 'units': '1'}
orig_version :: v4.21
project_name :: ESA Aerosol CCI
time_coverage_end :: 2012-04-10
time_coverage_resolution :: P8D
time_coverage_start :: 2002-07-24
url :: http://www.esa-aerosol-cci.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

air_temperature_2m

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 4
esa_cci_path :: nan
long_name :: 2 Metre Air Temperature
orig_attrs :: {'comment': 'Air temperature at 2m from the ERA5 reanalysis product.', 'long_name': '2 metre air temperature', 'orig_attrs': {}, 'project_name': 'ERA5', 'references': '', 'source_name': 'air_temperature_2m', 'units': 'K', 'url': 'https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation'}
orig_version :: ERA5
project_name :: ERA5
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-05
url :: https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

analysed_sst

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 44
esa_cci_path :: /neodc/esacci/sst/data/lt/Analysis/L4/v01.1/
long_name :: Analysed Sea Surface Temperature
orig_attrs :: {'Conventions': 'CF-1.5, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'Funded by ESA', 'cdm_data_type': 'grid', 'comment': 'WARNING Some applications are unable to properly handle signed byte values. If values are encountered > 127, please subtract 256 from this reported value', 'creator_email': 'science.leader@esa-sst-cci.org', 'creator_name': 'ESA SST CCI', 'creator_processing_institution': 'These data were produced at the Met Office as part of the ESA SST CCI project.', 'creator_url': 'http://www.esa-sst-cci.org', 'date_created': '20130309T132046Z', 'easternmost_longitude': 180.00001525878906, 'file_quality_level': 3, 'gds_version_id': '2.0', 'geospatial_lat_max': 90.0, 'geospatial_lat_min': -90.0, 'geospatial_lat_resolution': 0.05000000074505806, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 180.0, 'geospatial_lon_min': -180.0, 'geospatial_lon_resolution': 0.05000000074505806, 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': -0.20000000298023224, 'geospatial_vertical_min': -0.20000000298023224, 'history': 'Created using OSTIA reanalysis system v2.0', 'id': 'OSTIA-ESACCI-L4-v01.1', 'institution': 'ESACCI', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'GHRSST protocol describes data use as free and open', 'long_name': 'analysed sea surface temperature', 'metadata_link': 'http://www.esa-cci.org', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.1.3', 'northernmost_latitude': 90.0, 'orig_attrs': {}, 'platform': 'ERS-<1,2>, Envisat, NOAA-<12,14,15,16,17,18>, MetOpA', 'processing_level': 'L4', 'product_version': '1.1', 'project': 'Climate Change Initiative - European Space Agency', 'publisher_email': 'science.leader@esa-sst-cci.org', 'publisher_name': 'ESACCI', 'publisher_url': 'http://www.esa-sst-cci.org', 'references': 'http://www.esa-sst-cci.org', 'sensor': 'ATSR, AATSR, AVHRR_GAC', 'source': 'ATSR<1,2>-ESACCI-L3U-v1.0, AATSR-ESACCI-L3U-v1.0, AVHRR<12,14,15,16,17,18>_G-ESACCI-L2P-v1.0, AVHRRMTA-ESACCI-L2P-v1.0, EUMETSAT_OSI-SAF-ICE-v1.1, EUMETSAT_OSI-SAF-ICE-v2.2', 'source_dir': '/neodc/esacci/sst/data/lt/Analysis/L4/v01.1', 'source_name': 'analysed_sst', 'source_version': 'v01.1', 'southernmost_latitude': -90.0, 'spatial_resolution': '0.05 degree', 'standard_name': 'sea_water_temperature', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'start_time': '20100101T000000Z', 'stop_time': '20100101T235959Z', 'summary': 'OSTIA L4 product from the ESA SST CCI project, produced using OSTIA reanalysis system v2.0. Ice field corrected in v1.1 (v1.0 had ice from day-1). Static ice field between 20080101-20080229 and 20080501-20080521 also fixed in v1.1', 'time_coverage_duration': 'P1D', 'time_coverage_end': '20100101T235959Z', 'time_coverage_resolution': 'P1D', 'time_coverage_start': '20100101T000000Z', 'title': 'ESA SST CCI OSTIA L4 product', 'tracking_id': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'units': 'kelvin', 'url': 'http://www.esa-sst-cci.org', 'uuid': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'valid_max': 4500.0, 'valid_min': -300.0, 'westernmost_longitude': -180.0}
orig_version :: v01.1
project_name :: ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI)
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 1991-09-02
url :: http://www.esa-sst-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

bare_soil_evaporation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 55
esa_cci_path :: nan
long_name :: Bare Soil Evaporation
orig_attrs :: {'long_name': 'Bare Soil Evaporation', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Eb', 'standard_name': 'bare_soil_water_evaporation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

black_sky_albedo

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 65
esa_cci_path :: nan
long_name :: Black Sky Albedo for Visible Wavebands
orig_attrs :: {'comment': 'Black sky albedo derived from the GlobAlbedo CCI project dataset', 'long_name': 'Black Sky Albedo for Visible Wavebands', 'orig_attrs': {}, 'project_name': 'GlobAlbedo', 'references': 'Muller, Jan-Peter, et al. "The ESA GLOBALBEDO project for mapping the Earth’s land surface albedo for 15 years from European sensors." Geophysical Research Abstracts. Vol. 13. 2012.', 'source_name': 'DHR_VIS', 'standard_name': 'surface_albedo_black_sky', 'units': '-', 'url': 'http://www.globalbedo.org/'}
orig_version :: nan
project_name :: GlobAlbedo
time_coverage_end :: 2012-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1998-01-05
url :: http://www.globalbedo.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

black_sky_albedo_avhrr

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 76
esa_cci_path :: nan
long_name :: Directional Hemisphere Reflectance albedo - VIS band
orig_attrs :: {'comment': 'Black sky albedo derived from the QA4ECV Albedo Product', 'long_name': 'Directional Hemisphere Reflectance albedo - VIS band', 'orig_attrs': {}, 'project_name': 'QA4ECV - European Union Framework Program 7', 'source_name': 'DHR_VIS', 'standard_name': 'surface_albedo_black_sky', 'units': '1', 'url': 'http://www.qa4ecv.eu/'}
orig_version :: nan
project_name :: QA4ECV - European Union Framework Program 7
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1982-01-05
url :: http://www.qa4ecv.eu/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

burnt_area

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 54
esa_cci_path :: nan
long_name :: Monthly Burnt Area
orig_attrs :: {'comment': 'Burnt Area based on the GFED4 fire product.', 'long_name': 'Monthly Burnt Area', 'orig_attrs': {}, 'project_name': 'GFED4', 'references': 'Giglio, Louis, James T. Randerson, and Guido R. Werf. "Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4)." Journal of Geophysical Research: Biogeosciences 118.1 (2013): 317-328.', 'source_name': 'BurntArea', 'standard_name': 'burnt_area', 'units': 'hectares', 'url': 'http://www.globalfiredata.org/'}
orig_version :: gfed4
project_name :: GFED4
time_coverage_end :: 2014-03-02
time_coverage_resolution :: P8D
time_coverage_start :: 1995-01-05
url :: http://www.globalfiredata.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

c_emissions

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 53
esa_cci_path :: nan
long_name :: Carbon Dioxide Emissions Due to Natural Fires
orig_attrs :: {'comment': 'Carbon emissions by fires based on the GFED4 fire product.', 'long_name': 'Carbon dioxide emissions due to natural fires expressed as carbon flux.', 'orig_attrs': {}, 'project_name': 'GFED4', 'references': 'Giglio, Louis, James T. Randerson, and Guido R. Werf. "Analysis of daily, monthly, and annual burned area using the fourth‐generation global fire emissions database (GFED4)." Journal of Geophysical Research: Biogeosciences 118.1 (2013): 317-328.', 'source_name': 'Emission', 'standard_name': 'surface_upward_mass_flux_of_carbon_dioxide_expressed_as_carbon_due_to_emission_from_fires', 'units': 'g C m-2 month-1', 'url': 'http://www.globalfiredata.org/'}
orig_version :: gfed4
project_name :: GFED4
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
url :: http://www.globalfiredata.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cee

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 30
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Effective Emissivity at 10.8 um
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud effective emissivity at 10.8 um', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cee', 'spatial_resolution': '0.50 degree', 'standard_name': 'cee', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': '1', 'url': 'http://www.dwd.de', 'valid_max': 1.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cer

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 31
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Effective Radius
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud effective radius', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cer', 'spatial_resolution': '0.50 degree', 'standard_name': 'cer', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'um', 'url': 'http://www.dwd.de', 'valid_max': 200.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cfc

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 32
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud fraction
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud fraction', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cfc', 'spatial_resolution': '0.50 degree', 'standard_name': 'cfc', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': '1', 'url': 'http://www.dwd.de', 'valid_max': 1.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

chlor_a

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 29
esa_cci_path :: /neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/chlor_a/daily/v3.1
long_name :: Chlorophyll-a Concentration in Seawater
orig_attrs :: {'Conventions': 'CF-1.6', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'ancillary_variables': 'chlor_a_log10_rmsd chlor_a_log10_bias', 'cdm_data_type': 'Grid', 'comment': 'See summary attribute', 'creation_date': '20160822T065128Z', 'creator_email': 'help@esa-oceancolour-cci.org', 'creator_name': 'Plymouth Marine Laboratory', 'creator_url': 'http://esa-oceancolour-cci.org', 'date_created': '20160822T065128Z', 'geospatial_lat_max': 90.0, 'geospatial_lat_min': -90.0, 'geospatial_lat_resolution': '.04166666666666666666', 'geospatial_lat_units': 'decimal degrees north', 'geospatial_lon_max': 180.0, 'geospatial_lon_min': -180.0, 'geospatial_lon_resolution': '.04166666666666666666', 'geospatial_lon_units': 'decimal degrees east', 'geospatial_vertical_max': 0.0, 'geospatial_vertical_min': 0.0, 'grid_mapping': 'crs', 'history': 'Source data were: NASA OBPG SeaWiFS level2 R2014.0 LAC and GAC [A/C via l2gen], NASA OBPG VIIRS L2 R2014.0.1 (identical to R2014.0.2) [A/C via l2gen], NASA OBPG MODIS Aqua level 1A [A/C: l2gen equivalent to R2014.0.1 + Polymer 3.5] and ESA MERIS L1B (3rd reprocessing inc OCL correction) [Polymer v3.5]; Derived products were mainly produced with functions validated from the current NASA SeaDAS release and some custom implementations. Uncertainty generation determined by the fuzzy classifier scheme of Tim Moore (2009) and Thomas Jackson et al (2017)', 'id': 'ESACCI-OC-L3S-CHLOR_A-MERGED-1D_DAILY_4km_GEO_PML_OCx-20120101-fv3.1.nc', 'institution': 'Plymouth Marine Laboratory', 'keywords': 'satellite,observation,ocean,ocean colour', 'keywords_vocabulary': 'none', 'license': 'ESA CCI Data Policy: free and open access. When referencing, please use: Ocean Colour Climate Change Initiative dataset, Version <Version Number>, European Space Agency, available online at http://www.esa-oceancolour-cci.org. We would also appreciate being notified of publications so that we can list them on the project website at http://www.esa-oceancolour-cci.org/?q=publications', 'long_name': "Chlorophyll-a concentration in seawater (not log-transformed), generated by SeaDAS using a blended combination of OCI (OC4v6 + Hu's CI), OC3 and OC5, depending on water class memberships", 'naming_authority': 'uk.ac.pml', 'netcdf_file_type': 'NETCDF4_CLASSIC', 'number_of_optical_water_types': '14', 'orig_attrs': {}, 'parameter_vocab_uri': 'http://vocab.nerc.ac.uk/collection/P04/current/', 'platform': 'Orbview-2,Aqua,Envisat,Suomi-NPP', 'processing_level': 'Level-3', 'product_version': '3.1', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-oceancolour-cci.org/', 'sensor': 'SeaWiFS,MODIS,MERIS,VIIRS', 'source': 'NASA SeaWiFS L2 R2014.0 LAC and GAC, MODIS-Aqua L1A, MERIS L1B 3rd reprocessing inc OCL corrections, NASA VIIRS L2 R2014.0.1 (data identical to R2014.0.2)', 'source_dir': '/neodc/esacci/ocean_colour/data/v3.1-release/geographic/netcdf/chlor_a/daily/v3.1/', 'source_name': 'chlor_a', 'source_version': 'v3.1', 'spatial_resolution': '4km nominal at equator', 'standard_name': 'mass_concentration_of_chlorophyll_a_in_sea_water', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Conventions Version 1.6', 'start_date': '01-JAN-2012 00:00:00.000000', 'stop_date': '01-JAN-2012 23:59:00.000000', 'summary': "Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC & GAC, VIIRS) products. MODIS Aqua and MERIS were band-shifted and bias-corrected to SeaWiFS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007. VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to SeaWiFS levels, for the overlap period 2012-2013. VIIRS and SeaWiFS Rrs were derived from standard NASA L2 products; MERIS and MODIS from a combination of NASA's l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v3.5 (for atmospheric correction). The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult's BEAM. Derived products were generally computed with the standard SeaDAS algorithms. QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting. The final chlorophyll is a combination of OC4, Hu's CI and OC5, depending on the water class memberships. Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017).", 'time_coverage_duration': 'P1D', 'time_coverage_end': '201201012359Z', 'time_coverage_resolution': 'P1D', 'time_coverage_start': '201201010000Z', 'title': 'ESA CCI Ocean Colour Product', 'tracking_id': '4e0985e0-f157-40f6-b0f1-0a2bb0261f12', 'units': 'milligram m-3', 'units_nonstandard': 'mg m^-3', 'url': 'http://esa-oceancolour-cci.org'}
orig_version :: v3.1
project_name :: ESA CCI Ocean Colour Product
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1997-09-02
url :: http://esa-oceancolour-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cot

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 35
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Optical Thickness
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud optical thickness', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cot', 'spatial_resolution': '0.50 degree', 'standard_name': 'cot', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': '1', 'url': 'http://www.dwd.de', 'valid_max': 320.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

country_mask

(time, lat, lon)

float64

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

orig_attrs :: {'ds_method': 'MODE', 'orig_attrs': {}, 'source_name': 'country_mask', 'standard_name': 'country_mask', 'units': '-'}





  
      Array  Chunk 
  
  
     Bytes  14.12 GB   8.29 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float64  numpy.ndarray

cph

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 39
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Fraction of Liquid Water Clouds
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'fraction of liquid water clouds', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cph', 'spatial_resolution': '0.50 degree', 'standard_name': 'cph', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': '1', 'url': 'http://www.dwd.de', 'valid_max': 1.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

cth

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 36
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Top Height
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud top height', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'cth', 'spatial_resolution': '0.50 degree', 'standard_name': 'cth', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'km', 'url': 'http://www.dwd.de', 'valid_max': 20.0, 'valid_min': -1.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

ctp

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 37
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Top Pressure
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud top pressure', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'ctp', 'spatial_resolution': '0.50 degree', 'standard_name': 'ctp', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'hPa', 'url': 'http://www.dwd.de', 'valid_max': 1200.0, 'valid_min': 50.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
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ctt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 38
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Top Temperature
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud top temperature', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'ctt', 'spatial_resolution': '0.50 degree', 'standard_name': 'ctt', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'K', 'url': 'http://www.dwd.de', 'valid_max': 320.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
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     Count  1703 Tasks  1702 Chunks 
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evaporation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 56
esa_cci_path :: nan
long_name :: Evaporation
orig_attrs :: {'long_name': 'Evaporation', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'E', 'standard_name': 'water_evaporation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

evaporative_stress

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 57
esa_cci_path :: nan
long_name :: Evaporative Stress Factor
orig_attrs :: {'long_name': 'Evaporative Stress Factor', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'S', 'standard_name': 'evaporative_stress_factor', 'units': '', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
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fapar_tip

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 74
esa_cci_path :: nan
long_name :: Fraction of Absorbed PAR
orig_attrs :: {'long_name': 'Fraction of Absorbed Photosynthetically Active Radiation', 'orig_attrs': {}, 'project_name': 'QA4ECV', 'source_name': 'fapar', 'standard_name': 'fapar', 'units': '1', 'url': 'http://www.qa4ecv.eu/'}
orig_version :: nan
project_name :: QA4ECV
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1982-01-05
url :: http://www.qa4ecv.eu/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
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     Type  float32  numpy.ndarray

fat_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 21
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column (Fixed Altitude)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on Fixed Altitude definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'fat_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

fat_p

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 17
esa_cci_path :: nan
long_name :: Tropopause Air Pressure for the Fixed Altitude Tropopause
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropopause_air_pressure for the Fixed Altitude Tropopause', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'fat_p', 'standard_name': 'tropopause_air_pressure', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'hPa', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

flt_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 19
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on Fixed Layers definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'flt_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

flt_p

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 18
esa_cci_path :: nan
long_name :: Tropopause Air Pressure for the Fixed Layer Tropopause
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropopause_air_pressure for the fixed layer tropopause', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'flt_p', 'standard_name': 'tropopause_air_pressure', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'hPa', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

fractional_snow_cover

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 68
esa_cci_path :: nan
long_name :: Surface Fraction Covered by Snow
orig_attrs :: {'comment': 'Grid cell fractional snow cover based on the Globsnow CCI product.', 'long_name': 'Surface fraction covered by snow.', 'orig_attrs': {}, 'project_name': 'GlobSnow', 'references': 'Luojus, Kari, et al. "ESA DUE Globsnow-Global Snow Database for Climate Research." ESA Special Publication. Vol. 686. 2010.', 'source_name': 'MFSC', 'standard_name': 'surface_snow_area_fraction', 'units': 'percent', 'url': 'http://www.globsnow.info/'}
orig_version :: v2.0
project_name :: GlobSnow
time_coverage_end :: 2013-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.globsnow.info/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_fat_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 22
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column (Fixed Altitude)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on Fixed Altitude definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_fat_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_flt_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 23
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column (Fixed Layers)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on Fixed Layers definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_flt_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_lrt_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 20
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column ( Lapse Rate)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on lapse rate definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_lrt_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_msr_flt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 8
esa_cci_path :: nan
long_name :: Residual MSR-FLT (Stratospheric Part Partial)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'residual MSR-FLT_stratospheric_part partial ozone column in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_msr_flt', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

free_msr_lrt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 10
esa_cci_path :: nan
long_name :: Residual MSR-LRT (Stratospheric Part Partial)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'residual MSR-LRT_stratospheric_part partial ozone column in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'free_msr_lrt', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

gross_primary_productivity

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 47
esa_cci_path :: nan
long_name :: Gross Primary Productivity
orig_attrs :: {'comment': 'Gross Carbon uptake of of the ecosystem through photosynthesis', 'long_name': 'Gross Primary Productivity', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'GPPall', 'standard_name': 'gross_primary_productivity_of_carbon', 'units': 'gC m-2 day-1', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

interception_loss

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 58
esa_cci_path :: nan
long_name :: Interception Loss
orig_attrs :: {'long_name': 'Interception Loss', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Ei', 'standard_name': 'interception_loss', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

iwp

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 33
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Ice Water Path
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud ice water path', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'iwp', 'spatial_resolution': '0.50 degree', 'standard_name': 'iwp', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'g/m2', 'url': 'http://www.dwd.de', 'valid_max': 32000.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

land_surface_temperature

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 69
esa_cci_path :: nan
long_name :: Land Surface Temperature
orig_attrs :: {'comment': 'Advanced Along Track Scanning Radiometer pixel land surface temperature product', 'long_name': 'Land Surface Temperature', 'orig_attrs': {}, 'project_name': 'GlobTemperature', 'references': 'Jiménez, C., et al. "Inversion of AMSR‐E observations for land surface temperature estimation: 1. Methodology and evaluation with station temperature." Journal of Geophysical Research: Atmospheres 122.6 (2017): 3330-3347.', 'source_name': 'LST', 'standard_name': 'surface_temperature', 'units': 'K', 'url': 'http://data.globtemperature.info/'}
orig_version :: nan
project_name :: GlobTemperature
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2002-05-21
url :: http://data.globtemperature.info/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

latent_energy

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 48
esa_cci_path :: nan
long_name :: Latent Energy
orig_attrs :: {'comment': 'Latent heat flux from the surface.', 'long_name': 'Latent Energy', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'LE', 'standard_name': 'surface_upward_latent_heat_flux', 'units': 'W m-2', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

leaf_area_index

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 73
esa_cci_path :: nan
long_name :: Effective Leaf Area Index
orig_attrs :: {'long_name': 'Effective Leaf Area Index', 'orig_attrs': {}, 'project_name': 'QA4ECV', 'source_name': 'Lai', 'standard_name': 'leaf_area_index', 'units': '1', 'url': 'http://www.qa4ecv.eu/'}
orig_version :: nan
project_name :: QA4ECV
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1982-01-05
url :: http://www.qa4ecv.eu/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

lrt_c

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 24
esa_cci_path :: nan
long_name :: Tropospheric Ozone Column (Lapse Rate)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropospheric ozone column (based on lapse rate definition) in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'lrt_c', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

lrt_p

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 16
esa_cci_path :: nan
long_name :: Tropopause Air Pressure (Lapse Rate)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'tropopause_air_pressure for the lapse rate tropopause', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'lrt_p', 'standard_name': 'tropopause_air_pressure', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'hPa', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

lwp

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 34
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Cloud Liquid Water Path
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'cloud liquid water path', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'orig_attrs': {}, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'lwp', 'spatial_resolution': '0.50 degree', 'standard_name': 'lwp', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'g/m2', 'url': 'http://www.dwd.de', 'valid_max': 32000.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

mask

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 46
esa_cci_path :: /neodc/esacci/sst/data/lt/Analysis/L4/v01.1/
long_name :: Sea/Land/Lake/Ice Field Composite Mask
orig_attrs :: {'Conventions': 'CF-1.5, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'Funded by ESA', 'cdm_data_type': 'grid', 'comment': 'WARNING Some applications are unable to properly handle signed byte values. If values are encountered > 127, please subtract 256 from this reported value', 'creator_email': 'science.leader@esa-sst-cci.org', 'creator_name': 'ESA SST CCI', 'creator_processing_institution': 'These data were produced at the Met Office as part of the ESA SST CCI project.', 'creator_url': 'http://www.esa-sst-cci.org', 'date_created': '20130309T132046Z', 'easternmost_longitude': 180.00001525878906, 'file_quality_level': 3, 'gds_version_id': '2.0', 'geospatial_lat_max': 90.0, 'geospatial_lat_min': -90.0, 'geospatial_lat_resolution': 0.05000000074505806, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 180.0, 'geospatial_lon_min': -180.0, 'geospatial_lon_resolution': 0.05000000074505806, 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': -0.20000000298023224, 'geospatial_vertical_min': -0.20000000298023224, 'history': 'Created using OSTIA reanalysis system v2.0', 'id': 'OSTIA-ESACCI-L4-v01.1', 'institution': 'ESACCI', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'GHRSST protocol describes data use as free and open', 'long_name': 'sea/land/lake/ice field composite mask', 'metadata_link': 'http://www.esa-cci.org', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.1.3', 'northernmost_latitude': 90.0, 'orig_attrs': {}, 'platform': 'ERS-<1,2>, Envisat, NOAA-<12,14,15,16,17,18>, MetOpA', 'processing_level': 'L4', 'product_version': '1.1', 'project': 'Climate Change Initiative - European Space Agency', 'publisher_email': 'science.leader@esa-sst-cci.org', 'publisher_name': 'ESACCI', 'publisher_url': 'http://www.esa-sst-cci.org', 'references': 'http://www.esa-sst-cci.org', 'sensor': 'ATSR, AATSR, AVHRR_GAC', 'source': 'ATSR<1,2>-ESACCI-L3U-v1.0, AATSR-ESACCI-L3U-v1.0, AVHRR<12,14,15,16,17,18>_G-ESACCI-L2P-v1.0, AVHRRMTA-ESACCI-L2P-v1.0, EUMETSAT_OSI-SAF-ICE-v1.1, EUMETSAT_OSI-SAF-ICE-v2.2', 'source_dir': '/neodc/esacci/sst/data/lt/Analysis/L4/v01.1', 'source_name': 'mask', 'source_version': 'v01.1', 'southernmost_latitude': -90.0, 'spatial_resolution': '0.05 degree', 'standard_name': 'mask', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'start_time': '20100101T000000Z', 'stop_time': '20100101T235959Z', 'summary': 'OSTIA L4 product from the ESA SST CCI project, produced using OSTIA reanalysis system v2.0. Ice field corrected in v1.1 (v1.0 had ice from day-1). Static ice field between 20080101-20080229 and 20080501-20080521 also fixed in v1.1', 'time_coverage_duration': 'P1D', 'time_coverage_end': '20100101T235959Z', 'time_coverage_resolution': 'P1D', 'time_coverage_start': '20100101T000000Z', 'title': 'ESA SST CCI OSTIA L4 product', 'tracking_id': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'url': 'http://www.esa-sst-cci.org', 'uuid': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'valid_max': 31.0, 'valid_min': 1.0, 'westernmost_longitude': -180.0}
orig_version :: v01.1
project_name :: ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI)
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 1991-09-02
url :: http://www.esa-sst-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

max_air_temperature_2m

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 6
esa_cci_path :: nan
long_name :: Maximum 2 Metre Air Temperature
orig_attrs :: {'comment': 'Air temperature at 2m from the ERA5 reanalysis product.', 'long_name': 'Maximum 2 metre air temperature', 'orig_attrs': {}, 'project_name': 'ERA5', 'references': '', 'source_name': 'max_air_temperature_2m', 'units': 'K', 'url': 'https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation'}
orig_version :: ERA5
project_name :: ERA5
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-05
url :: https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

min_air_temperature_2m

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 7
esa_cci_path :: nan
long_name :: Minimum 2 Metre Air Temperature
orig_attrs :: {'comment': 'Air temperature at 2m from the ERA5 reanalysis product.', 'long_name': 'Minimum 2 metre air temperature', 'orig_attrs': {}, 'project_name': 'ERA5', 'references': '', 'source_name': 'min_air_temperature_2m', 'units': 'K', 'url': 'https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation'}
orig_version :: ERA5
project_name :: ERA5
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-05
url :: https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

msr_flt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 9
esa_cci_path :: nan
long_name :: Residual MSR-FLT (Stratospheric Part Partial)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'residual MSR-FLT_stratospheric_part partial ozone column in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'msr_flt', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
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     Type  float32  numpy.ndarray

msr_lrt

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 11
esa_cci_path :: nan
long_name :: Residual MSR-LRT (Stratospheric Part Partial)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'residual MSR-LRT_stratospheric_part partial ozone column in mole per square meter', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'msr_lrt', 'standard_name': 'troposphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
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     Type  float32  numpy.ndarray

net_ecosystem_exchange

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 49
esa_cci_path :: nan
long_name :: Net Ecosystem Exchange
orig_attrs :: {'comment': 'Net carbon exchange between the ecosystem and the atmopshere.', 'long_name': 'Net Ecosystem Exchange', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'NEE', 'standard_name': 'net_primary_productivity_of_carbon', 'units': 'gC m-2 day-1', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

net_radiation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 50
esa_cci_path :: nan
long_name :: Net Radiation
orig_attrs :: {'comment': 'Net radiation to the surface', 'long_name': 'Net Radiation', 'orig_attrs': {}, 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'Rn', 'standard_name': 'surface_net_radiation_flux', 'units': 'W m-2', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

open_water_evaporation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 59
esa_cci_path :: nan
long_name :: Open-Water Evaporation
orig_attrs :: {'long_name': 'Open-water Evaporation', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Ew', 'standard_name': 'water_evaporation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

ozone

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 72
esa_cci_path :: /neodc/esacci/ozone/data/total_columns/l3/merged/v0100/
long_name :: Mean Total Ozone Column in dobson units
orig_attrs :: {'comment': 'Atmospheric ozone based on the Ozone CCI data.', 'long_name': 'Mean total ozone column in dobson units', 'orig_attrs': {}, 'project_name': 'Ozone CCI', 'references': 'Laeng, A., et al. "The ozone climate change initiative: Comparison of four Level-2 processors for the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)." Remote Sensing of Environment 162 (2015): 316-343.', 'source_name': 'atmosphere_mole_content_of_ozone', 'standard_name': 'atmosphere_mole_content_of_ozone', 'units': 'DU', 'url': 'http://www.esa-ozone-cci.org/'}
orig_version :: v0100
project_name :: Ozone CCI
time_coverage_end :: 2011-06-30
time_coverage_resolution :: P8D
time_coverage_start :: 1996-03-09
url :: http://www.esa-ozone-cci.org/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

par

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 3
esa_cci_path :: nan
long_name :: Photosynthetically Active Radiation
orig_attrs :: {'long_name': 'Photosynthetically active radiation', 'orig_attrs': {}, 'project_name': 'BESS', 'references': 'Ryu, Y.*, Jiang, C., Kobayashi, H., & Detto, M. (2018). MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000. Remote Sensing of Environment, 204, 812-825', 'source_name': 'surface_downwelling_photosynthetic_radiative_flux_in_air', 'standard_name': 'surface_downwelling_photosynthetic_radiative_flux_in_air', 'units': 'W m-2', 'url': 'http://environment.snu.ac.kr/bess_rad/'}
orig_version :: 15.10.2017
project_name :: BESS
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-03-01
url :: http://environment.snu.ac.kr/bess_rad/





  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

pardiff

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 1
esa_cci_path :: nan
long_name :: Diffuse Photosynthetically Active Radiation
orig_attrs :: {'long_name': 'Diffuse Photosynthetically active radiation', 'orig_attrs': {}, 'project_name': 'BESS', 'references': 'Ryu, Y.*, Jiang, C., Kobayashi, H., & Detto, M. (2018). MODIS-derived global land products of shortwave radiation and diffuse and total photosynthetically active radiation at 5 km resolution from 2000. Remote Sensing of Environment, 204, 812-825', 'source_name': 'surface_diffuse_downwelling_photosynthetic_radiative_flux_in_air', 'standard_name': 'surface_diffuse_downwelling_photosynthetic_radiative_flux_in_air', 'units': 'W m-2', 'url': 'http://environment.snu.ac.kr/bess_rad/'}
orig_version :: 15.10.2017
project_name :: BESS
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-03-01
url :: http://environment.snu.ac.kr/bess_rad/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

potential_evaporation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 60
esa_cci_path :: nan
long_name :: Potential Evaporation
orig_attrs :: {'long_name': 'Potential Evaporation', 'orig_attrs': {}, 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Ep', 'standard_name': 'potential_water_evaporation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

precipitation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 71
esa_cci_path :: nan
long_name :: Precipitation
orig_attrs :: {'comment': 'Precipitation based on the GPCP dataset.', 'long_name': 'Precip - RealTime [RT] (see documentation for more information)', 'orig_attrs': {}, 'project_name': 'GPCP', 'references': 'Adler, Robert F., et al. "The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present)." Journal of hydrometeorology 4.6 (2003): 1147-1167.', 'source_name': 'Precip', 'standard_name': 'precipitation_flux', 'units': 'mm/day', 'url': 'http://precip.gsfc.nasa.gov/'}
orig_version :: nan
project_name :: GPCP
time_coverage_end :: 2015-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
url :: http://precip.gsfc.nasa.gov/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

precipitation_era5

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 5
esa_cci_path :: nan
long_name :: ERA5 Precipitation
orig_attrs :: {'comment': 'Total precipitation from the ERA5 reanalysis product.', 'long_name': 'ERA 5 Precipitation', 'orig_attrs': {}, 'project_name': 'ERA5', 'references': '', 'source_name': 'precipitation', 'units': 'K', 'url': 'https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation'}
orig_version :: ERA5
project_name :: ERA5
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-05
url :: https://confluence.ecmwf.int//display/CKB/ERA5+data+documentation





  
      Array  Chunk 
  
  
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     Type  float32  numpy.ndarray

psurf

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 12
esa_cci_path :: nan
long_name :: Surface Air Pressure
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'surface_air_pressure', 'orig_attrs': {}, 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'psurf', 'standard_name': 'surface_air_pressure', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'hPa', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

root_moisture

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 61
esa_cci_path :: nan
long_name :: Root-Zone Soil Moisture
orig_attrs :: {'long_name': 'Root-Zone Soil Moisture', 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'SMroot', 'standard_name': 'soil_moisture_content', 'units': 'm3/m3', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
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     Type  float32  numpy.ndarray

sea_ice_fraction

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 45
esa_cci_path :: /neodc/esacci/sst/data/lt/Analysis/L4/v01.1/
long_name :: Sea Ice Area Fraction
orig_attrs :: {'Conventions': 'CF-1.5, Unidata Observation Dataset v1.0', 'Metadata_Conventions': 'Unidata Dataset Discovery v1.0', 'acknowledgment': 'Funded by ESA', 'cdm_data_type': 'grid', 'comment': 'WARNING Some applications are unable to properly handle signed byte values. If values are encountered > 127, please subtract 256 from this reported value', 'creator_email': 'science.leader@esa-sst-cci.org', 'creator_name': 'ESA SST CCI', 'creator_processing_institution': 'These data were produced at the Met Office as part of the ESA SST CCI project.', 'creator_url': 'http://www.esa-sst-cci.org', 'date_created': '20130309T132046Z', 'easternmost_longitude': 180.00001525878906, 'file_quality_level': 3, 'gds_version_id': '2.0', 'geospatial_lat_max': 90.0, 'geospatial_lat_min': -90.0, 'geospatial_lat_resolution': 0.05000000074505806, 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 180.0, 'geospatial_lon_min': -180.0, 'geospatial_lon_resolution': 0.05000000074505806, 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': -0.20000000298023224, 'geospatial_vertical_min': -0.20000000298023224, 'history': 'Created using OSTIA reanalysis system v2.0', 'id': 'OSTIA-ESACCI-L4-v01.1', 'institution': 'ESACCI', 'keywords': 'Oceans > Ocean Temperature > Sea Surface Temperature', 'keywords_vocabulary': 'NASA Global Change Master Directory (GCMD) Science Keywords', 'license': 'GHRSST protocol describes data use as free and open', 'long_name': 'sea ice area fraction', 'metadata_link': 'http://www.esa-cci.org', 'naming_authority': 'org.ghrsst', 'netcdf_version_id': '4.1.3', 'northernmost_latitude': 90.0, 'platform': 'ERS-<1,2>, Envisat, NOAA-<12,14,15,16,17,18>, MetOpA', 'processing_level': 'L4', 'product_version': '1.1', 'project': 'Climate Change Initiative - European Space Agency', 'publisher_email': 'science.leader@esa-sst-cci.org', 'publisher_name': 'ESACCI', 'publisher_url': 'http://www.esa-sst-cci.org', 'references': 'http://www.esa-sst-cci.org', 'sensor': 'ATSR, AATSR, AVHRR_GAC', 'source': 'ATSR<1,2>-ESACCI-L3U-v1.0, AATSR-ESACCI-L3U-v1.0, AVHRR<12,14,15,16,17,18>_G-ESACCI-L2P-v1.0, AVHRRMTA-ESACCI-L2P-v1.0, EUMETSAT_OSI-SAF-ICE-v1.1, EUMETSAT_OSI-SAF-ICE-v2.2', 'source_dir': '/neodc/esacci/sst/data/lt/Analysis/L4/v01.1', 'source_name': 'sea_ice_fraction', 'source_version': 'v01.1', 'southernmost_latitude': -90.0, 'spatial_resolution': '0.05 degree', 'standard_name': 'sea_ice_area_fraction', 'standard_name_vocabulary': 'NetCDF Climate and Forecast (CF) Metadata Convention', 'summary': 'OSTIA L4 product from the ESA SST CCI project, produced using OSTIA reanalysis system v2.0. Ice field corrected in v1.1 (v1.0 had ice from day-1). Static ice field between 20080101-20080229 and 20080501-20080521 also fixed in v1.1', 'time_coverage_duration': 'P1D', 'time_coverage_end': '20100101T235959Z', 'time_coverage_resolution': 'P1D', 'time_coverage_start': '20100101T000000Z', 'title': 'ESA SST CCI OSTIA L4 product', 'tracking_id': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'units': '1', 'url': 'http://www.esa-sst-cci.org', 'uuid': '19b1f7a4-d8d1-44eb-9cfa-37cc33c4c2c1', 'valid_max': 100.0, 'valid_min': 0.0, 'westernmost_longitude': -180.0}
orig_version :: v01.1
project_name :: ESA Sea Surface Temperature Climate Change Initiative (ESA SST CCI)
time_coverage_end :: 2010-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 1991-09-02
url :: http://www.esa-sst-cci.org





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

sensible_heat

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 51
esa_cci_path :: nan
long_name :: Sensible Heat
orig_attrs :: {'comment': 'Sensible heat flux from the surface', 'long_name': 'Sensible Heat', 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'H', 'standard_name': 'surface_upward_sensible_heat_flux', 'units': 'W m-2', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2015-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

snow_sublimation

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 62
esa_cci_path :: nan
long_name :: Snow Sublimation
orig_attrs :: {'long_name': 'Snow Sublimation', 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Es', 'standard_name': 'snow_sublimation_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

snow_water_equivalent

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 67
esa_cci_path :: nan
long_name :: Daily Snow Water Equivalent
orig_attrs :: {'certain_values': '-2 == mountains, -1 == water bodies, 0 == either SWE, or missing data in the southern hemisphere', 'comment': 'Grid cell fractional snow cover based on the Globsnow CCI product.', 'long_name': 'Daily Snow Water Equivalent', 'project_name': 'GlobSnow', 'references': 'Luojus, Kari, et al. "ESA DUE Globsnow-Global Snow Database for Climate Research." ESA Special Publication. Vol. 686. 2010.', 'source_name': 'SWE', 'units': 'mm', 'url': 'http://www.globsnow.info/'}
orig_version :: v2.0
project_name :: GlobSnow
time_coverage_end :: 2012-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
url :: http://www.globsnow.info/





  
      Array  Chunk 
  
  
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     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

soil_moisture

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 78
esa_cci_path :: /neodc/esacci/soil_moisture/data/daily_files/COMBINED/v04.2/
long_name :: Soil Moisture
orig_attrs :: {'comment': 'Soil moisture based on the SOilmoisture CCI project', 'long_name': 'Soil Moisture', 'project_name': 'SoilMoisture CCI', 'references': 'Liu, Y.Y., Parinussa, R.M., Dorigo, W.A., De Jeu, R.A.M., Wagner, W., McCabe, M.F., Evans, J.P., and van Dijk, A.I.J.M. (2012): Trend-preserving blending of passive and active microwave soil moisture retrievals; Liu, Y.Y., Parinussa, R.M., Dorigo, W.A., De Jeu, R.A.M., Wagner, W., van Dijk, A.I.J.M., McCabe, M.F., & Evans, J.P. (2011): Developing an improved soil moisture dataset by blending passive and active microwave satellite based retrievals. Hydrology and Earth System Sciences, 15, 425-436.', 'source_name': 'SoilMoisture', 'standard_name': 'soil_moisture_content', 'units': 'm3', 'url': 'http://www.esa-soilmoisture-cci.org'}
orig_version :: v04.2
project_name :: SoilMoisture CCI
time_coverage_end :: 2014-01-29
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
url :: http://www.esa-soilmoisture-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

srex_mask

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 77
esa_cci_path :: nan
long_name :: Mask for SREX Regions
orig_attrs :: {'ds_method': 'MODE', 'long_name': 'Mask for SREX regions', 'source_name': 'layer', 'standard_name': 'srex_mask', 'units': '-'}
orig_version :: nan
project_name :: regionmask - SREX Regions
time_coverage_end :: 1980-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
url :: https://regionmask.readthedocs.io/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

stemp

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 40
esa_cci_path :: /neodc/esacci/cloud/data/phase-2/L3C/MODIS-TERRA/v2.0/
long_name :: Surface Temperature
orig_attrs :: {'Conventions': 'CF-1.6,ACDD-1.3', 'cdm_data_type': 'Grid', 'comment': 'These data were produced at ESACCI as part of the ESA Cloud CCI project.', 'creator_email': 'contact.cloudcci@dwd.de', 'creator_name': 'Deutscher Wetterdienst', 'creator_url': 'http://www.dwd.de', 'date_created': '2016-04-25T17:07:07+0000', 'geospatial_lat_max': 89.75, 'geospatial_lat_min': -89.75, 'geospatial_lat_resolution': '0.50', 'geospatial_lat_units': 'degrees_north', 'geospatial_lon_max': 179.75, 'geospatial_lon_min': -179.75, 'geospatial_lon_resolution': '0.50', 'geospatial_lon_units': 'degrees_east', 'geospatial_vertical_max': '0.0', 'geospatial_vertical_min': '0.0', 'history': 'Dataset produced by DWDs CC4CL retrieval system installed at ECMWF in second phase of ESA Cloud CCI.', 'id': '200002-ESACCI-L3C_CLOUD-CLD_PRODUCTS-MODIS_TERRA-fv2.0.nc', 'institution': 'Deutscher Wetterdienst', 'keywords': 'EARTH SCIENCE > ATMOSPHERE > SATELLITES > CLOUDS > CLOUD PROPERTIES', 'keywords_vocabulary': 'GCMD Science Keywords, Version 8.1', 'license': 'ESA CCI Data Policy: free and open access', 'long_name': 'surface temperature', 'naming_authority': 'de.dwd', 'number_of_processed_orbits': 1516, 'platform': 'TERRA', 'product_version': '2.0', 'project': 'Climate Change Initiative - European Space Agency', 'references': 'http://www.esa-cloud-cci.info', 'sensor': 'MODIS', 'source': 'MODIS_TERRA_Collection 6', 'source_name': 'stemp', 'spatial_resolution': '0.50 degree', 'standard_name': 'stemp', 'standard_name_vocabulary': 'NetCDF Climate Forecast (CF) Metadata Convention version 18', 'summary': 'This dataset contains monthly Level-3 global cloud property products from satellite observations. Averaged onto a regular grid.', 'time_coverage_duration': 'P1M', 'time_coverage_end': '20000229T235959Z', 'time_coverage_resolution': 'P1M', 'time_coverage_start': '20000201T000000Z', 'title': 'ESA Cloud CCI Retrieval Products L3 Output File', 'tracking_id': '1b6a5bee-afad-43e5-a326-67a76df184a7', 'units': 'K', 'url': 'http://www.dwd.de', 'valid_max': 320.0, 'valid_min': 0.0}
orig_version :: v2.0
project_name :: ESA Cloud Climate Change Initiative (Cloud_cci)
time_coverage_end :: 2014-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2000-01-29
url :: http://www.dwd.de





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

surface_moisture

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 63
esa_cci_path :: nan
long_name :: Surface Soil Moisture
orig_attrs :: {'long_name': 'Surface Soil Moisture', 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'SMsurf', 'standard_name': 'soil_moisture_content', 'units': 'mm3/mm3', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

terrestrial_ecosystem_respiration

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 52
esa_cci_path :: nan
long_name :: Terrestrial Ecosystem Respiration
orig_attrs :: {'comment': 'Total carbon release of the ecosystem through respiration.', 'long_name': 'Terrestrial Ecosystem Respiration', 'project_name': 'FLUXCOM', 'references': 'Tramontana, Gianluca, et al. "Predicting carbon dioxide and energy fluxes across global FLUXNET sites with regression algorithms." (2016).', 'source_name': 'TERall', 'standard_name': 'ecosystem_respiration_carbon_flux', 'units': 'gC m-2 day-1', 'url': 'http://www.fluxcom.org/'}
orig_version :: v1
project_name :: FLUXCOM
time_coverage_end :: 2012-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2001-01-05
url :: http://www.fluxcom.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

totcol_assim

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 13
esa_cci_path :: nan
long_name :: Total Ozone Column (Assimilated TM5 data)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'total ozone column derived from assimilated TM5 data', 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'totcol_assim', 'standard_name': 'atmosphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

totcol_free

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 14
esa_cci_path :: nan
long_name :: Total Ozone Column (Assimilated TM5 data)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'total ozone column derived from assimilated TM5 data', 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'totcol_free', 'standard_name': 'atmosphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

totcol_msr

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 15
esa_cci_path :: nan
long_name :: Total Ozone Column (MSR data)
orig_attrs :: {'Conventions': 'CF-1.6', 'comment': 'The global tropospheric ozone column from 0 to 6 km is presented here. The column is derived by simultaneous assimlating ozone profiles of GOME-2 and OMI.', 'creator_email': 'peet@knmi.nl', 'creator_name': 'J.C.A. van Peet', 'creator_url': 'KNMI, http://www.kmnmi.nl/', 'institution': 'Royal Netherlands Meteorological Institute, KNMI', 'long_name': 'total ozone column derived from MSR data', 'project_name': 'Tropospheric ozone column', 'references': 'Jacob C. A. van Peet, Ronald J. van der A, Hennie M. Kelder, and Pieternel F. Levelt (2018),Simultaneous assimilation of ozone profiles from multiple UV-VIS satellite instruments, Atmospheric Chemistry and Physics, doi:10.5194/acp-18-1685-2018', 'source_name': 'totcol_msr', 'standard_name': 'atmosphere_mole_content_of_ozone', 'title': 'Tropospheric ozone columns from assimilated satellite data.', 'units': 'mol m-2', 'url': 'http://www.temis.nl/protocols/tropo.html'}
orig_version :: v.1.2.3.1
project_name :: ESA - Near-real time total ozone column (OMI)
time_coverage_end :: 2011-12-31
time_coverage_resolution :: P8D
time_coverage_start :: 2008-01-05
url :: http://www.temis.nl/protocols/tropo.html





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

transpiration

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 64
esa_cci_path :: nan
long_name :: Transpiration
orig_attrs :: {'long_name': 'Transpiration', 'project_name': 'GLEAM', 'references': 'Martens, B., Miralles, D.G., Lievens, H., van der Schalie, R., de Jeu, R.A.M., Fernández-Prieto, D., Beck, H.E., Dorigo, W.A., and Verhoest, N.E.C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, 2017.', 'source_name': 'Et', 'standard_name': 'transpiration_flux', 'units': 'mm/day', 'url': 'http://www.gleam.eu'}
orig_version :: Version 3.2
project_name :: GLEAM
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-05
url :: http://www.gleam.eu





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

water_mask

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 43
esa_cci_path :: /neodc/esacci/land_cover/data/water_bodies/v4.0/
long_name :: Terrestrial or Water Pixel Classification
orig_attrs :: {'long_name': 'Terrestrial or water pixel classification', 'project_name': 'Climate Change Initiative - European Space Agency', 'source_name': 'wb_class', 'standard_name': 'land_cover_lccs', 'units': '-', 'url': 'http://www.esa-landcover-cci.org'}
orig_version :: v4.0
project_name :: ESA Land Cover Climate Change Initiative (Land_Cover_cci)
time_coverage_end :: 1980-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1980-01-05
url :: http://www.esa-landcover-cci.org





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

water_vapour

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 70
esa_cci_path :: nan
long_name :: Total Column Water Vapour
orig_attrs :: {'comment': 'Total column water vapour based on the GlobVapour CCI product.', 'long_name': 'Total Column Water Vapour', 'project_name': 'GlobVapour', 'references': 'Schneider, Nadine, et al. "ESA DUE GlobVapour water vapor products: Validation." AIP Conference Proceedings. Vol. 1531. No. 1. 2013.', 'source_name': 'tcwv_res', 'standard_name': 'atmosphere_mass_content_of_water_vapor', 'units': 'kg m-2', 'url': 'http://www.globvapour.info/'}
orig_version :: nan
project_name :: GlobVapour
time_coverage_end :: 2008-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1996-01-05
url :: http://www.globvapour.info/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

white_sky_albedo

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 66
esa_cci_path :: nan
long_name :: White Sky Albedo for Visible Wavebands
orig_attrs :: {'comment': 'White sky albedo derived from the GlobAlbedo CCI project dataset', 'long_name': 'White Sky Albedo for Visible Wavebands', 'project_name': 'GlobAlbedo', 'references': 'Muller, Jan-Peter, et al. "The ESA GLOBALBEDO project for mapping the Earth’s land surface albedo for 15 years from European sensors." Geophysical Research Abstracts. Vol. 13. 2012.', 'source_name': 'BHR_VIS', 'standard_name': 'surface_albedo_white_sky', 'units': '-', 'url': 'http://www.globalbedo.org/'}
orig_version :: nan
project_name :: GlobAlbedo
time_coverage_end :: 2012-01-05
time_coverage_resolution :: P8D
time_coverage_start :: 1998-01-05
url :: http://www.globalbedo.org/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

white_sky_albedo_avhrr

(time, lat, lon)

float32

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 75
esa_cci_path :: nan
long_name :: Bi-Hemisphere Reflectance Albedo - VIS band
orig_attrs :: {'comment': 'White sky albedo derived from the QA4ECV Albedo Product', 'long_name': 'Bi-Hemisphere Reflectance albedo - VIS band', 'project_name': 'QA4ECV - European Union Framework Program 7', 'source_name': 'BHR_VIS', 'standard_name': 'surface_albedo_white_sky', 'units': '1', 'url': 'http://www.qa4ecv.eu/'}
orig_version :: nan
project_name :: QA4ECV - European Union Framework Program 7
time_coverage_end :: 2016-12-30
time_coverage_resolution :: P8D
time_coverage_start :: 1982-01-05
url :: http://www.qa4ecv.eu/





  
      Array  Chunk 
  
  
     Bytes  7.06 GB   4.15 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float32  numpy.ndarray

xch4

(time, lat, lon)

float64

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 42
esa_cci_path :: /neodc/esacci/ghg/data/obs4mips/crdp_3/CO2/v100/
long_name :: Column Average Dry-air Mole Fraction Methane
orig_attrs :: {'Conventions': 'CF-1.6', 'associated_files': 'obs4mips_co2_crdp3_v100.sav', 'cell_methods': 'time: mean', 'comment': 'Satellite retrieved column-average dry-air mole fraction of atmospheric carbon dioxide (XCO2)', 'contact': 'maximilian.reuter@iup.physik.uni-bremen.de', 'creation_date': '20160303T111125Z', 'data_structure': 'grid', 'frequency': 'mon', 'institute_id': 'IUP', 'institution': 'Institute of Environmental Physics, University of Bremen', 'long_name': 'column-average dry-air mole fraction of atmospheric carbon dioxide', 'mip_specs': 'CMIP5', 'product': 'observations', 'project_id': 'obs4MIPs', 'project_name': 'Ozone CCI', 'realm': 'atmos', 'references': 'Laeng, A., et al. "The ozone climate change initiative: Comparison of four Level-2 processors for the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)." Remote Sensing of Environment 162 (2015): 316-343.', 'source': 'ESA GHG CCI XCO2 CRDP3', 'source_id': 'XCO2_CRDP3', 'source_name': 'xch4', 'source_type': 'satellite_retrieval', 'standard_name': 'dry_atmosphere_mole_fraction_of_carbon_dioxide', 'tracking_id': '60972082-05c2-4a04-947a-99042c642c68', 'units': '1', 'url': 'http://www.esa-ghg-cci.org/'}
orig_version :: v100
project_name :: ESA Greenhouse Gases Climate Change Initiative (GHG_cci)
time_coverage_end :: 2014-12-15
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-13
url :: http://www.esa-ghg-cci.org/





  
      Array  Chunk 
  
  
     Bytes  14.12 GB   8.29 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float64  numpy.ndarray

xco2

(time, lat, lon)

float64

dask.array<chunksize=(1, 720, 1440), meta=np.ndarray>

ID :: 41
esa_cci_path :: /neodc/esacci/ghg/data/obs4mips/crdp_3/CO2/v100/
long_name :: Column Average Dry-air Mole Fraction Carbon Dioxide
orig_attrs :: {'Conventions': 'CF-1.6', 'associated_files': 'obs4mips_co2_crdp3_v100.sav', 'cell_methods': 'time: mean', 'comment': 'Satellite retrieved column-average dry-air mole fraction of atmospheric carbon dioxide (XCO2)', 'contact': 'maximilian.reuter@iup.physik.uni-bremen.de', 'creation_date': '20160303T111125Z', 'data_structure': 'grid', 'frequency': 'mon', 'institute_id': 'IUP', 'institution': 'Institute of Environmental Physics, University of Bremen', 'long_name': 'column-average dry-air mole fraction of atmospheric carbon dioxide', 'mip_specs': 'CMIP5', 'product': 'observations', 'project_id': 'obs4MIPs', 'project_name': 'Ozone CCI', 'realm': 'atmos', 'references': 'Laeng, A., et al. "The ozone climate change initiative: Comparison of four Level-2 processors for the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS)." Remote Sensing of Environment 162 (2015): 316-343.', 'source': 'ESA GHG CCI XCO2 CRDP3', 'source_id': 'XCO2_CRDP3', 'source_name': 'xco2', 'source_type': 'satellite_retrieval', 'standard_name': 'dry_atmosphere_mole_fraction_of_carbon_dioxide', 'tracking_id': '60972082-05c2-4a04-947a-99042c642c68', 'units': '1', 'url': 'http://www.esa-ghg-cci.org/'}
orig_version :: v100
project_name :: ESA Greenhouse Gases Climate Change Initiative (GHG_cci)
time_coverage_end :: 2014-12-15
time_coverage_resolution :: P8D
time_coverage_start :: 2003-01-13
url :: http://www.esa-ghg-cci.org/





  
      Array  Chunk 
  
  
     Bytes  14.12 GB   8.29 MB 
     Shape  (1702, 720, 1440)   (1, 720, 1440) 
     Count  1703 Tasks  1702 Chunks 
     Type  float64  numpy.ndarray

Attributes: (35)
Metadata_conventions :
Unidata Dataset Discovery v1.0
acknowledgment :
The ESDL team acknowledges all data providers!
chunking :
1x720x1440
comment :
none.
contributor_name :
Max Planck Institute for Biogeochemistry
contributor_role :
ESDL Science Lead
creator_email :
info@earthsystemdatalab.net
creator_name :
Brockmann Consult GmbH
creator_url :
www.earthsystemdatalab.net
date_created :
17.12.2018
date_issued :
19.12.2018
date_modified :
17.12.2018
geospatial_lat_max :
89.75
geospatial_lat_min :
-89.75
geospatial_lon_max :
179.75
geospatial_lon_min :
-179.75
geospatial_resolution :
1/4deg
history :
- processing with esdl cube v0.1 (https://github.com/esa-esdl/esdl-core/)
id :
v2.0.0
institution :
Brockmann Consult GmbH
keywords :
Earth Science, Geophysical Variables
license :
Please refer to individual variables
naming_authority :
Earth System Data Lab team
processing_level :
Level 4
project :
ESA Earth System Data Lab
publisher_email :
info@earthsystemdatalab.net
publisher_name :
Brockmann Consult GmbH & Max Planck Institute for Biogechemistry
publisher_url :
www.brockmann-consult.de
standard_name_vocabulary :
CF-1.7
summary :
This data set contains a data cube of Earth System variables created by the ESA project Earth System Data Lab.
time_coverage_duration :
P37Y
time_coverage_end :
30.12.2016
time_coverage_resolution :
P8D
time_coverage_start :
05.01.1980
title :
Earth System Data Cube

# again subset only the ones we require
variables = [
    'gross_primary_productivity',
    'soil_moisture'
]
cubes = datacube[variables]

cubes

And we're done. That's it, there's nothing more to it.